{"id":350,"date":"2021-08-07T17:48:18","date_gmt":"2021-08-07T17:48:18","guid":{"rendered":"https:\/\/itgeeks.in\/home\/?p=350"},"modified":"2021-08-07T17:51:00","modified_gmt":"2021-08-07T17:51:00","slug":"2k6-ec-705-c-soft-computing","status":"publish","type":"post","link":"https:\/\/itgeeks.in\/home\/?p=350","title":{"rendered":"2K6 EC 705 (C): SOFT COMPUTING"},"content":{"rendered":"\n<p><strong>Module I (13 hours)<\/strong><br>Basic concepts \u2013 Single Layer Perception \u2013 Multi Layer Perception \u2013 Adaline \u2013 Madaline \u2013 Learning Rules \u2013 Supervised Learning \u2013 Back Propagation Networks \u2013 Training Algorithm \u2013 Practical Difficulties \u2013 Advanced Algorithms \u2013 Adaptive Network \u2013 Radial Basis \u2013 Network \u2013 Modular Network \u2013 Applications.<br><strong>Module II (13 hours)<\/strong><br>Unsupervised Learning \u2013 Competitive Learning Networks \u2013 Kohonen self organising networks \u2013 Learning Vector Quantization \u2013 Hebbian Learning \u2013 Hopfield Network \u2013Content Addressable Nature \u2013 Binary Hopfield Network \u2013 Continuous Hopfield Network Traveling Salesperson Problem \u2013 Adaptive Resonance Theory \u2013 Bidirectional Associative Memory \u2013 Principle Component Analysis<br><strong>Module III (13 hours)<\/strong><br>Fuzzy Sets\u2013Fuzzy Rules: Extension Principle, Fuzzy Relation \u2013 Fuzzy Reasoning \u2013 Fuzzy Inference Systems \u2013 Mamdani Model \u2013 Sugeno Model \u2013 Tsukamoto Model\u2013 Fuzzy decision Making \u2013 Multiobjective Decision Making \u2013 FuzzyClassification\u2013 Fuzzy Control Methods \u2013 Application.<br><strong>Module IV(13 hours)<\/strong><br>Adaptive Neuro Fuzzy Based Inference Systems \u2013 Classification and Regression Trees: Decision Tress \u2013 Cart Algorithm \u2013 Data Clustering Algorithms: K Means Clustering, Fuzzy C Means Clustering, Mountain Clustering, Subtractive Clustering, Rule Base Structure Identification \u2013 Neuro Fuzzy Control \u2013 Feedback Control Systems\u2013 Expert Control \u2013 Inverse Learning \u2013 Specialized Learning \u2013 Back Propagation Through Real Time Recurrent Learning .<\/p>\n\n\n\n<p><strong>TEXT BOOK<\/strong><br>1.<a href=\"http:\/\/www.itgeeks.in\/home\/?q=node\/296\">\u00a0<\/a><a href=\"https:\/\/itgeeks.in\/home\/?p=352\">Jang J S R Sun C T and Mizutani E, \u201cNeuro Fuzzy and Soft computing\u201d, Pearson Education, (Singapore) 2004.<\/a><br>2.<a href=\"http:\/\/www.itgeeks.in\/home\/?q=node\/598\">\u00a0<\/a><a href=\"https:\/\/itgeeks.in\/home\/?p=353\">Timothy J Ross, \u201cFuzzy Logic Engineering Applications\u201d, McGrawHill NewYork, 1997<\/a><br><strong>REFERENCES<\/strong><br>1. <a href=\"https:\/\/itgeeks.in\/home\/?p=366\">David E Goldberg, \u201cGenetic Algorithms in Search Optimization and Machine Learning\u201d, Pearson Education, Asia, 1996.<\/a><br>2.\u00a0Laurene Fauseett, \u201cFundamentals of Neural Networks\u201d Prentice Hall, India, New Delhi, 1994.<br>3. S Rajasekaran and G A Vijayalakshmi Pai, \u201cNeural networks Fuzzy logics and Genetic algorithms\u201d, Prentice Hall of India, 2003.<br>4.\u00a0<a href=\"https:\/\/itgeeks.in\/home\/?p=360\">George J Klir and Bo Yuan, \u201cFuzzy Sets and Fuzzy Logic\u201d, Prentice Hall<\/a><\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link\" href=\"https:\/\/itgeeks.in\/home\/?p=202\">S7 Question Papers<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Module I (13 hours)Basic concepts \u2013 Single Layer Perception \u2013 Multi Layer Perception \u2013 Adaline \u2013 Madaline \u2013 Learning Rules<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[28,22,9,8],"tags":[7],"class_list":["post-350","post","type-post","status-publish","format-standard","hentry","category-ku-s7-ece","category-ku-syb-s7","category-ku-syllabus","category-syllabus","tag-kannur-university"],"_links":{"self":[{"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=\/wp\/v2\/posts\/350","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=350"}],"version-history":[{"count":2,"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=\/wp\/v2\/posts\/350\/revisions"}],"predecessor-version":[{"id":368,"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=\/wp\/v2\/posts\/350\/revisions\/368"}],"wp:attachment":[{"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=350"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=350"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itgeeks.in\/home\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=350"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}