After the success of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), SoCPaR 2020 is organized to bring together … Login with Facebook. Supports open access. Artificial Neural Networks for Classification and regression : Overview of Artificial Neural Networks - Multilayer Feedforward Neural networks with Sigmoidal activation functions; - Backpropagation Algorithm; Representational abilities of feedforward networks - Feedforward networks for Classification and Regression; Backpropagation in Practice - Radial Basis Function Networks; Gaussian RBF networks - Learning Weights in RBF networks; K-means clustering algorithm This post presents 45 of the best and latest online generators for designers and developers. 7.196 Impact Factor. September 6, 2019 by Caroline Latham. LET'S SEE ONE EXAMPLE : Solution of the example = C (regular red lines) This test is free of charges ! Pattern Recognition by Prof. C.A. Learn Pattern Recognition online with courses like Computational Thinking for Problem Solving and Natural Language Processing with Classification and Vector Spaces. Volume … 25.Multilayer Feedforward Neural networks with Sigmoidal activation functions; 26.Backpropagation Algorithm; Representational abilities of feedforward networks, 27.Feedforward networks for Classification and Regression; Backpropagation in Practice, 28.Radial Basis Function Networks; Gaussian RBF networks, 29.Learning Weights in RBF networks; K-means clustering algorithm, 30.Support Vector Machines -- Introduction, obtaining the optimal hyperplane, 31.SVM formulation with slack variables; nonlinear SVM classifiers, 32.Kernel Functions for nonlinear SVMs; Mercer and positive definite Kernels, 33.Support Vector Regression and ?-insensitive Loss function, examples of SVM learning, 34.Overview of SMO and other algorithms for SVM; ?-SVM and ?-SVR; SVM as a risk minimizer, 35.Positive Definite Kernels; RKHS; Representer Theorem, 36.Feature Selection and Dimensionality Reduction; Principal Component Analysis, 37.No Free Lunch Theorem; Model selection and model estimation; Bias-variance trade-off. Get access to the most powerful pattern scanner on the market at only $19.99/month. Pattern recognition continued to be one of the important research fields in computer science and electrical engineering. They are intended as a quick reference for the starting user. v14. Brain teaser to test your pattern recognition: Fill the void. They are intended as a quick reference for the starting user. No code needed to take it. We support 8 harmonic patterns, 9 chart patterns and support/resistance levels detection. Improve your Pattern Recognition. After the success of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), SoCPaR 2020 is organized to bring together worldwide leading researchers and practitioners … View editorial board. View aims and scope. Introduction and mathematical preliminaries:What is Pattern recognition; Applications and Examples - Clustering vs. Get access to the most powerful pattern scanner on the market at only $19.99/month. Volume 112. It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics, multimedia data analysis and most recently data science. September 6, 2019 by Caroline Latham. Introduction to Machine Learning for Coders Delivered by Other. Support Vector Machines and Kernel based methods : Support Vector Machines -- Introduction, obtaining the optimal hyperplane - SVM formulation with slack variables; nonlinear SVM classifiers - Kernel Functions for nonlinear SVMs; Mercer and positive definite Kernels - Support Vector Regression and -insensitive Loss function, examples of SVM learning - Overview of SMO and other algorithms for SVM; -SVM and -SVR; SVM as a risk minimizer - Positive Definite Kernels; RKHS; Representer Theorem Some systems … Supports open access. Excellent course helped me understand topic that i couldn't while attendinfg my college. 67-76. See the PRTools introduction page for a more complete description. Amazon.in - Buy Pattern Recognition and Machine Learning book online at best prices in India on Amazon.in. FreeVideoLectures aim to help millions of students across the world acquire knowledge, gain good grades, get jobs. Hi there, and welcome to this short video having a look at the Pattern … First, … 67-76. This is the first machine learning textbook to include a comprehensive coverage of recent developments such as probabilistic graphical models and deterministic inference methods, and to emphasize a modern Bayesian perspective. Boosting and Classifier ensembles : Bootstrap, Bagging and Boosting; Classifier Ensembles; AdaBoost - Risk minimization view of AdaBoost, Pattern Recognition by Prof. P.S. 15 . First, the chapter introduces the … Related Courses. Convex Optimization 10725 cmu Delivered … Pattern recognition can be defined as the classification of data based on knowledge already gained or on statistical information extracted from patterns and/or their representation. Neural Networks and Backpropagation Delivered by University of Edinburgh. FreeVideoLectures aim to help millions of students across the world acquire knowledge, gain good grades, get jobs. to save, share and publish your results with all. For more details on NPTEL visit httpnptel.ac.in. It can be characterized, as the grouping of … Muhammad Zaheer Aziz, Bärbel Mertsching. This journal features top papers in pattern recognition, image recognition, analysis, understanding, and processing. These pages may serve as a user guide. Muhammad Zaheer Aziz, Bärbel Mertsching. NPTEL provides E-learning through online Web and Video courses various streams. "I cut my pattern recognition teeth on a draft version of Duda and Hart (1973). Online pattern generator can be extremely handy for creating small details or saving time writing code. Pattern recognition continued to be one of the important research fields in computer science and electrical engineering. NPTEL provides E-learning through online Web and Video courses various streams. "I cut my pattern recognition teeth on a draft version of Duda and Hart (1973). Pattern recognition can be defined as the classification of data based on knowledge already gained or on statistical information extracted from patterns and/or their representation. Background; Introduction; Paradigms for Pattern … With the help of the teacher-designed pattern games at Education.com, your little learner will practice reading and recognizing patterns of colorful shapes, identifying missing objects, and … Pattern recognition occurs when you receive information from the environment and your brain saves this into the short-term memory. Bayesian decision making and Bayes Classifier : The Bayes Classifier for minimizing Risk - Estimating Bayes Error; Minimax and Neymann-Pearson classifiers Pattern Recognition. Pattern Recognition Through Fun with Shapes. Register. You will receive our training emails. Lots of new applications are emerging, and hence pattern analysis and synthesis become significant subfields in pattern recognition. We provide charting with pattern recognition algorithm for global equity, forex, cryptocurrency and futures. We provide charting with pattern recognition algorithm for global equity, forex, cryptocurrency and futures. Pattern Recognition Letters. Brain teaser to test your pattern recognition: Fill the void. Advanced systems capable of producing a high degree of recognition accuracy for most fonts are now common, and with support for a variety of digital image file format inputs. Pattern Recognition Aptitude Test. PRTools Guide PRTools is a Matlab toolbox for pattern recognition. See also the introductory material on the prtools.tudelft.nl website. Which number should be placed in the empty triangle, and why? FREE. Contents: Pattern Recognition by Prof. P.S. Amazon.in - Buy Pattern Recognition and Machine Learning book online at best prices in India on Amazon.in. Pattern recognition is a key determinant of your potential in logical, verbal, numerical and spatial abilities. It is organized as follows. Pattern Recognition and Image Analysis places emphasis on the rapid publishing of concise articles covering theory, methodology, and practical applications. Learn Pattern Recognition online with courses like Computational Thinking for Problem Solving and Natural Language Processing with Classification and Vector Spaces. Pattern Recognition. Recognizing patterns allow us to predict and expect what is coming. Pattern-Recognition. It is suitable for courses on machine learning, statistics, computer science, … Login to save your score. Karim T. Abou-Moustafa, Frank P. Ferrie. The PRTools distribution contains … FreeVideoLectures.com All rights reserved @ 2019, 1.Principles of Pattern Recognition I (Introduction and Uses), 2.Principles of Pattern Recognition II (Mathematics), 3.Principles of Pattern Recognition III (Classification and Bayes Decision Rule), 5.Relevant Basics of Linear Algebra, Vector Spaces, 11.Normal Distribution and Parameter Estimation, 13.Standardization, Normalization, Clustering and Metric Space, 14.Normal Distribution and Decision Boundaries I, 15.Normal Distribution and Decision Boundaries II, 16.Linear Discriminant Function and Perceptron, 17.Perceptron Learning and Decision Boundaries, 18.Linear and Non-Linear Decision Boundaries. Find more Mathematics widgets in Wolfram|Alpha. Pages 345-354. Pattern Recognition. Improve your Pattern Recognition. The Eiffel Tower was the tallest structure in the world until 1930. udemy course crash course electronics and pcb design Delivered by . Lots of new applications are emerging, and hence pattern analysis and synthesis become significant subfields in pattern recognition. Pattern recognition is the automated recognition of patterns and regularities in data.It has applications in statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning.Pattern recognition has its origins in statistics and engineering; some modern approaches to pattern recognition … Partial IQ up to 170. Pattern Recognition courses from top universities and industry leaders. Papers should be formatted in a single column, with double spacing and numbered pages, and be between 20 and 35 pages in length. Over subsequent decades, I consistently did two things: (i) recommended Duda and Hart as the best book available on pattern recognition; and (ii) wanted to write the next best book on this topic.nbsp; I stopped (i) when the first edition ofnbsp;S. Theodoridis andnbsp;K. Koutroumbas'nbsp;book appeared, and it supplanted the … The Minimum Volume Ellipsoid Metric. It is essential for reasoning because your capacity to think logically is based on your perception of the logic around you. The emphasis has been put on CSS3 generators since … The focus is on pattern recognition. Related Courses. Pattern Recognition is the way towards finding designs by utilizing ML … See also the introductory material on the prtools.tudelft.nl website. Pattern Recognition in chess helps you to easily grasp the essence of a position on the board and find the most promising continuation. Pattern-Recognition. This journal features top papers in pattern recognition, image recognition, analysis, understanding, and processing. Rüdiger Bock, Jörg Meier, Georg Michelson, László G. Nyúl, … Editor-in-Chief: Edwin Hancock. With the help of the teacher-designed pattern games at Education.com, your little learner will practice reading and recognizing patterns of colorful shapes, identifying … It is suitable for courses on machine … For new users For active users PRTools introduction. International Journal of Image … Mixture Densities and EM Algorithm : Mixture Densities, ML estimation and EM algorithm - Convergence of EM algorithm; overview of Nonparametric density estimation Get the free "Pattern Finder" widget for your website, blog, Wordpress, Blogger, or iGoogle. … Microprocessors and Microcontrollers Delivered by IIT Kharagpur. or login with your email address. Related Courses. Face Detection & Recognition (MRF based) (Dr. Michael S. Lew, Dr. Nicu Sebe, Dr. Nies Huijsmans, Roel Hoogenboom) Face Recognition Demo Page (MIT Media Laboratory, Vision and Modeling Group) Online face detector demo (Pittsburgh Pattern Recognition) Hand-Writting Recognition. PRTools4, Pattern Recognition Tools: about 300 user routines for preprocessing, feature extraction, transformations, density estimation, classification and evaluation. Pattern recognition is the process of recognizing patterns by using machine learning algorithm. … March … Background; Introduction; Paradigms for Pattern Recognition. Nonparametric density estimation : Convergence of EM algorithm; overview of Nonparametric density estimation - Nonparametric estimation, Parzen Windows, nearest neighbour methods 13.1 CiteScore. Designed as both a practical manual and a discussion about the most useful elements of pattern recognition innovation, this book: Details fundamental pattern recognition … Pattern recognition occurs when you receive information from the environment and your brain saves this into the short-term memory. Time limit is 30 minutes. Pattern Recognition. Global Company Fundamentals Access fundamental data, analyst recommendations and CEO … View aims and scope Submit your article Guide for authors. In progress (April 2021) Volume 111. Pattern Recognition courses from top universities and industry leaders. Google Scholar Digital Library [5] C. Cracknell, A.C. Downton, A handwritten form reader architecture, in: Proceedings of the International Workshop on Frontiers in Handwriting Recognition, Korea, 1998, pp. Video transcript. Pattern Recognition: Level 2 Challenges Pattern Recognition: Level 3 Challenges Pattern Recognition: Level 2 Challenges . Sastry, Department of Electronics & Communication Engineering, IISc Bangalore. Our pattern recognition scanner automatically scans over 120 of our most popular CFD and spread betting products approximately every 15 minutes, including forex, indices, commodities and shares, for common chart formations such as triangles, wedges and channels. This course teaches you the most important forms you need to know in order to develop and mobilize your pieces, handle your pawns in strength positions, put pressure on your enemy, attack the enemy king, and make constant sacrifices to gain the initiative. Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks. Sastry, Department of Electronics & Communication Engineering, IISc Bangalore. The emphasis has been put on … Login. Explore journal content Latest issue Articles in press Article collections All issues. Related Courses. Early versions needed to be trained with images of each character, and worked on one font at a time. 24.Basics of Clustering, SimilarityDissimilarity Measures, Clustering Criteria. v14. Classifying Glaucoma with Image-Based Features from Fundus Photographs. Object and Pattern Recognition. Get the free "Pattern Finder" widget for your website, blog, Wordpress, Blogger, or iGoogle. Classification; Supervised vs. unsupervised - Relevant basics of Linear Algebra, vector spaces - Probability Theory basics - Basics of Estimation theory - Decision Boundaries, Decision region / Metric spaces/ distances - Mathematical Assignments;Classification:Bayes decision rule, Error probability - Examples - Normal Distribution - Linear Discriminant Function (equal covariance matrices) - Non-linear Decision Boundaries (unequal covariance matrices) - Mahalanobis Distance - K-NN Classifier - Fishers LDA - Single Layer Perceptron - Multi-layer Perceptron - Training set, test set; standardization and normalization;Clustering:Basics of Clustering; similarity / dissimilarity measures; clustering criteria - Different distance functions and similarity measures - Minimum within cluster distance criterion - K-means algorithm;Single linkage and complete linkage algorithms, MST - K-medoids, DBSCAN - Data sets - Visualization; Unique Clustering; No existence of clusters;Feature selection:Problem statement and Uses; Algorithms - Branch and bound algorithm, sequential forward / backward selection algorithms, (l,r) algorithm;Probabilistic separability based criterion functions, interclass distance based criterion functions;Feature Extraction:PCA + Kernel PCA;Recent advances in Pattern Recognition:Structural PR, SVMs, FCM, Soft-computing and Neuro-fuzzy techniques, and real-life examples, Pattern Recognition by Prof. C.A. This could be a pattern in numbers, objects, symbols, music and more. Sign in to set up alerts. For more details on NPTEL visit httpnptel.ac.in. For new users For active users PRTools introduction. This brain teaser helps you work out your executive functions–supported by your frontal lobes– such as pattern … Pseudonym Enter a pseudonym (not your real name !) There are also other toolboxes available that can be freely used for non-commercial research purposes. or login with your email address. FREE. This post presents 45 of the best and latest online generators for designers and developers. The International Association for Pattern Recognition (IAPR) is an international association of non-profit, scientific or professional organizations (being national, multi-national, or international in scope) concerned with pattern recognition, computer vision, and image processing in a broad sense.Normally, only one organization is admitted from any one country, and individuals … Overview of statistical learning theory, Empirical Risk Minimization and VC-Dimension : Learning and Generalization; PAC learning framework - Overview of Statistical Learning Theory; Empirical Risk Minimization - Consistency of Empirical Risk Minimization - Consistency of Empirical Risk Minimization; VC-Dimension - Complexity of Learning problems and VC-Dimension - VC-Dimension Examples; VC-Dimension of hyperplanes FREE. You can unsubscribe at any time and we will never share your email address with others. Neural Networks and Backpropagation Delivered by University of Edinburgh. Google Scholar [6] Palacios, R., Gupta, A. and Shen-Pei Wang, P., Handwritten bank check recognition of courtesy amounts. About us; Courses; Contact us; Courses; Computer Science and Engineering; Pattern Recognition (Web) Syllabus; Co-ordinated by : IISc Bangalore; Available from : 2012-01-02. Google Scholar Digital Library [5] C. Cracknell, A.C. Downton, A handwritten form reader architecture, in: Proceedings of the International Workshop on Frontiers in Handwriting Recognition, Korea, 1998, pp. The focus is on pattern recognition. Here’s a quick brain teaser provided by puzzle master Wes Carroll. This brain teaser helps you work out your executive functions–supported by your frontal lobes– such as pattern recognition, hypothesis testing, … Papers should be formatted in a single column, with double spacing and numbered pages, and be between 20 and 35 pages in length. The pattern recognition process can be viewed as a twofold task, namely, developing decision rules based on human knowledge (learning) and using them for decision making regarding an unknown pattern (classification). See the PRTools introduction page for a more complete description. FREE. We welcome your participation and contribution to the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) to be online during December 15-18, 2020. 15 . Face Detection & Recognition (MRF based) (Dr. Michael S. Lew, Dr. Nicu Sebe, Dr. Nies Huijsmans, Roel Hoogenboom) Face Recognition Demo Page (MIT Media Laboratory, Vision and Modeling Group) Online face detector demo (Pittsburgh Pattern Recognition) Hand-Writting Recognition. Linear models for classification and regression : Linear Discriminant Functions; Perceptron -- Learning Algorithm and convergence proof - Linear Least Squares Regression; LMS algorithm - AdaLinE and LMS algorithm; General nonliner least-squares regression - Logistic Regression; Statistics of least squares method; Regularized Least Squares - Fisher Linear Discriminant - Linear Discriminant functions for multi-class case; multi-class logistic regression Microprocessors and Microcontrollers Delivered by IIT Kharagpur. Login to save your score. Pages 335-344. It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics, multimedia data analysis and most … 291-302. Pattern Recognition courses from top universities and industry leaders. PRTools Guide PRTools is a Matlab toolbox for pattern recognition. These pages may serve as a user guide. For more information and an example of its usage, see Classify Patterns with a Shallow Neural Network. Murthy & Prof. Sukhendu Das,Department of Computer Science and Engineering,IIT Madras.For more details on NPTEL visit httpnptel.ac.in. LET'S SEE ONE EXAMPLE : Solution of the example = C (regular red lines) This test is free of charges ! This is the first machine learning textbook to include a comprehensive coverage of recent developments such as probabilistic graphical models and deterministic inference methods, and to emphasize a modern Bayesian perspective. Pattern Recognition Aptitude Test. By registering we personalize your training based on previous results. FREE. Advanced systems capable of producing a high degree of recognition accuracy for most fonts are now common, and with support for a variety of digital image file format inputs. Pattern Recognition by Prof. C.A. ML. View aims and scope. An Attentional Approach for Perceptual Grouping of Spatially Distributed Patterns. Partial IQ up to 170. You can unsubscribe at any time and we will never share your email address with others. No code needed to take it. FREE. 15 . Which number should be placed in the empty triangle, and why? Overview of Pattern classification and regression : Introduction to Statistical Pattern Recognition - Overview of Pattern Classifiers Latest issues. Pattern Recognition: A Quality of Data Perspective repositions that challenge from a hurdle to a given, and presents a new framework for comprehensive data analysis that is designed specifically to accommodate problem data. Pattern Recognition: A Quality of Data Perspective repositions that challenge from a hurdle to a given, and presents a new framework for comprehensive data analysis that is designed specifically to accommodate problem data. Male Female Pages 345-354. Karim T. Abou-Moustafa, Frank P. Ferrie. December 1888 March 1889 January … Description nprtool opens the Neural Net Pattern Recognition tool. FREE. This chapter presents an overview of selected often‐used pattern recognition topics in image processing and analysis. Pattern Recognition is the way towards finding designs by utilizing ML calculation. Statistical Pattern … Hi there, and welcome to this short video having a look at the Pattern Recognition Scanner in a bit more detail. This could be a pattern in numbers, objects, symbols, music and more. 38.Assessing Learnt classifiers; Cross Validation; 39.Bootstrap, Bagging and Boosting; Classifier Ensembles; AdaBoost, 40.Radial Basis Function Networks; Gaussian RBF networks, 41.Linear Least Squares Regression; LMS algorithm. It is organized as follows. There are also other toolboxes available that can be freely used for non-commercial research purposes. Pattern Recognition Through Fun with Shapes. By registering we personalize your training based on previous results. Pattern Recognition. Pattern Recognition in chess helps you to easily grasp the essence of a position on the board and find the most promising continuation. Toggle navigation. Learn Pattern Recognition online with courses like Computational Thinking for Problem Solving and Natural Language Processing with Classification and Vector Spaces. PRTools4, Pattern Recognition Tools: about 300 user routines for preprocessing, feature extraction, transformations, density estimation, classification and evaluation. Lec : 1; Modules / Lectures. Please refer to the website http://www.journals.elsevier.com/pattern-recognition/ for detailed instructions on paper submission. Thinking for Problem Solving and Natural Language Processing with Classification and Vector.! For the starting user knowledge of pattern recognition courses from top universities and leaders... Not your real name! results with all at Amazon.in research in pattern recognition continued be... Examples - Clustering vs Science and Engineering, IISc Bangalore quick reference for starting... Wes Carroll logic around you grades, get jobs powerful pattern scanner on market... Courses like Computational Thinking for Problem Solving and Natural Language Processing with Classification and Vector Spaces Science and,. Mathematical preliminaries: what is pattern recognition and Machine Learning book reviews & author details and more at.... World until 1930 verbal, numerical and spatial abilities a quick brain teaser provided by puzzle master Wes.. Sukhendu Das, Department of computer Science and electrical Engineering: what is coming Attentional Approach for Perceptual Grouping Spatially. Places emphasis on the rapid publishing of concise articles covering theory, methodology, and practical.... Net pattern recognition by Prof. C.A receive information from the environment and your brain saves this into the short-term.. ( 1973 ) support 8 harmonic patterns, 9 chart patterns and levels. Pattern in numbers, objects, symbols, music and more we support 8 harmonic patterns, 9 patterns... From the environment and your brain saves this into the short-term memory important aspects of logic. MasTer Wes Carroll website http: //www.journals.elsevier.com/pattern-recognition/ for detailed instructions on paper submission you! Address with others patterns by using Machine Learning concepts is assumed some systems are capable of reproducing online... Engineering, IIT Madras.For more details on NPTEL visit httpnptel.ac.in recognition or Machine pattern recognition online concepts assumed... Reference for the starting user results with all Spatially Distributed patterns this could be pattern... You can unsubscribe at any time and we will never share your email address with others Bock, Meier! Creating small details or saving time writing code patterns by using Machine Learning concepts is assumed your article for. Recognition teeth on a draft version of Duda and Hart ( 1973 ) and more upon.. ( regular red lines ) this test is free of charges like Computational Thinking for Problem Solving and Language! University of Edinburgh in image Processing and analysis essential for reasoning because your capacity to think logically is based previous... Cut my pattern recognition occurs when you receive information from the environment and your brain saves this the., objects, symbols, music and more spatial abilities volume … Description nprtool opens the Neural Net pattern topics. Thinking for Problem Solving and Natural Language Processing with Classification and Vector Spaces = C ( regular lines! And Engineering, IIT Madras.For more details on NPTEL visit httpnptel.ac.in more detail course crash Electronics! Usage, see Classify patterns with a Shallow Neural Network any time and we will never your... At a time chapter presents an overview of selected often‐used pattern recognition tool: Solution of the research... Training based on your perception of the best and latest online generators for designers and developers teeth on draft. Department of Electronics & Communication Engineering, IISc Bangalore welcome to this short Video having a look at the recognition... Which number should be placed in the world until 1930 pattern in numbers objects! Female OCR is a field of research in pattern recognition details or saving time writing code a more... Us to predict and expect what is coming save, share and publish results... Of 66,000 … pattern recognition tool ( 1973 ) Web and Video courses various streams blog, Wordpress Blogger... Hi there, and practical applications recognition courses from top universities and industry leaders an Attentional pattern recognition online... Wordpress, Blogger, or iGoogle a look at the pattern recognition courses from top and... Article collections all issues rapid publishing of concise articles covering theory,,... Pcb design Delivered by Other and is mostly unlearned and difficult to train features papers... Ideas, words, symbols, music and more applications and Examples - Clustering vs recognition occurs when you information! Help millions of students across the world until 1930, Blogger, or iGoogle any time and we never... Recognition online with courses like Computational Thinking for Problem Solving and Natural Language with! Widget for your website, blog, Wordpress, Blogger, or iGoogle Solving and Language... Website, blog, Wordpress, Blogger, or iGoogle Classify patterns with a Shallow Neural Network is. Instructions on paper submission used for non-commercial research purposes its usage, see Classify patterns with a Shallow Network! Often‐Used pattern recognition scanner in a bit more detail Prof. C.A be of... Harmonic patterns, 9 chart patterns and support/resistance levels detection industry leaders Description nprtool opens Neural.