{"id":2230,"date":"2016-07-11T19:27:23","date_gmt":"2016-07-11T19:27:23","guid":{"rendered":"http:\/\/www.inspirenignite.com\/jntuh\/?p=2230"},"modified":"2021-10-27T20:58:43","modified_gmt":"2021-10-27T20:58:43","slug":"jntuh-b-tech-4th-year-2-sem-electronics-and-communication-engineering-r13-4-2-artificial-neural-networks-elective-iii-r13-syllabus","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-b-tech-4th-year-2-sem-electronics-and-communication-engineering-r13-4-2-artificial-neural-networks-elective-iii-r13-syllabus\/","title":{"rendered":"JNTUH B.Tech 4th Year 2 sem Electronics and Communication Engineering R13 (4-2) Artificial Neural Networks (Elective &#8211; III) R13 syllabus"},"content":{"rendered":"<p style=\"text-align: justify\">JNTUH B.Tech 4th year (4-2) Artificial Neural Networks (Elective &#8211; III) gives you detail information of Artificial Neural Networks (Elective &#8211; III) R13 syllabus It will be help full to understand you complete curriculum of the year.<\/p>\n<p style=\"text-align: justify\"><strong>Course Objectives<\/strong><\/p>\n<p style=\"text-align: justify\">The objectives of this course are to<\/p>\n<ul style=\"text-align: justify\">\n<li>Understand the basic building blocks of artificial neural networks (ANNs)<\/li>\n<li>Understand the role of neural networks in engineering and artificial intelligence modelling<\/li>\n<li>Provide knowledge of supervised\/unsupervised learning in neural networks Provide knowledge of single layer and multi layer perceptrons.<\/li>\n<li>To know about self-organizational maps and Hop field models.<\/li>\n<\/ul>\n<p style=\"text-align: justify\"><strong>UNIT -I<\/strong><\/p>\n<p style=\"text-align: justify\">Introduction: A Neural Network, Human Brain, Models of a Neuron, Neural Networks viewed as Directed Graphs, Network Architectures, Knowledge Representation, Artificial Intelligence and Neural Networks Learning Process: Error Correction Learning, Memory Based Learning, Hebbian Learning, Competitive, Boltzmann Learning, Credit Assignment Problem, Memory, Adaption, Statistical Nature of the Learning Process<\/p>\n<p style=\"text-align: justify\"><strong>UNIT -II<\/strong><\/p>\n<p style=\"text-align: justify\">Single Layer Perceptrons: Adaptive Filtering Problem, Unconstrained Organization Techniques, Linear Least Square Filters, Least Mean Square Algorithm, Learning Curves, Learning Rate Annealing Techniques, Perceptron \u2014Convergence Theorem, Relation Between Perceptron and Bayes Classifier for a Gaussian Environment<\/p>\n<p style=\"text-align: justify\">Multilayer Perceptron: Back Propagation Algorithm XOR Problem, Heuristics, Output Representation and Decision Rule, Computer Experiment, Feature Detection<\/p>\n<p style=\"text-align: justify\"><strong>UNIT -III<\/strong><\/p>\n<p style=\"text-align: justify\">Back Propagation: Back Propagation and Differentiation, Hessian Matrix, Generalization, Cross Validation, Network Pruning Techniques, Virtues and Limitations of Back Propagation Learning, Accelerated Convergence, Supervised Learning.<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\"><strong><span style=\"color: #ff0000\">Download iStudy Android App for complete JNTUH syllabus, results, timetables and all other updates. There are no ads and no pdfs and will make your life way easier<\/span>.<\/strong><\/a><\/p>\n<p style=\"text-align: justify\"><strong>TEXT BOOK<\/strong><\/p>\n<ul style=\"text-align: justify\">\n<li>Neural Networks a Comprehensive Foundations, Simon Haykin, PHI edition.<\/li>\n<\/ul>\n<p style=\"text-align: justify\"><strong>REFERENCE BOOKS<\/strong><\/p>\n<ul style=\"text-align: justify\">\n<li>Artificial Neural Networks &#8211; B. Vegnanarayana Prentice Hall of India P Ltd 2005<\/li>\n<li>Neural Networks in Computer Inteligance, Li Mm Fu TMH 2003<\/li>\n<li>Neural Networks -James A Freeman David M S Kapura Pearson Education 2004.<\/li>\n<li>Introduction to Artificial Neural Systems Jacek M. Zurada, JAICO Publishing House Ed. 2006.<\/li>\n<\/ul>\n<p style=\"text-align: justify\"><strong>Course Outcomes<\/strong><\/p>\n<p style=\"text-align: justify\">After the course the student should be able to:<\/p>\n<ul style=\"text-align: justify\">\n<li>Explain the function of artificial neural networks of the Back-prop, Hopfield and SCM type<\/li>\n<li>Explain the difference between supervised and unsupervised learning<\/li>\n<li>Describe the assumptions behind, and the derivations of the ANN algorithms dealt with in the course<\/li>\n<li>Give example of design and implementation for small problems<\/li>\n<li>Implement ANN algorithms to achieve signal processing, optimization, classification and process modeling.<\/li>\n<\/ul>\n<p style=\"text-align: justify\">For more information about all JNTU updates please stay connected to us on FB and don\u2019t hesitate to ask any questions in the comment.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>JNTUH B.Tech 4th year (4-2) Artificial Neural Networks (Elective &#8211; III) gives you detail information of Artificial Neural Networks (Elective &#8211; III) R13 syllabus It will be help full to [&hellip;]<\/p>\n","protected":false},"author":2259,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[153,123,3,62],"tags":[],"class_list":["post-2230","post","type-post","status-publish","format-standard","hentry","category-2nd-sem-2","category-4th-year","category-ece","category-syllabus"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/2230","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/users\/2259"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/comments?post=2230"}],"version-history":[{"count":3,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/2230\/revisions"}],"predecessor-version":[{"id":17478,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/2230\/revisions\/17478"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/media?parent=2230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/categories?post=2230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/tags?post=2230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}