{"id":18333,"date":"2019-12-10T04:38:59","date_gmt":"2019-12-10T04:38:59","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/neural-networks-and-fuzzy-systems-robotics-automation-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iv\/"},"modified":"2020-07-07T07:27:19","modified_gmt":"2020-07-07T07:27:19","slug":"neural-networks-and-fuzzy-systems-robotics-automation-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iv","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/neural-networks-and-fuzzy-systems-robotics-automation-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iv\/","title":{"rendered":"Neural Networks and Fuzzy Systems Robotics &amp; Automation 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV)"},"content":{"rendered":"<p>Neural Networks and Fuzzy Systems Robotics &amp; Automation 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV) detail syllabus for Robotics And Automation Engineering (Robotics &amp; Automation), 2017 regulation is collected from the <a href=\"https:\/\/www.annauniv.edu\/\" target=\"_blank\" rel=\"noopener\">Anna Univ<\/a> official website and presented for students of Anna University. The details of the course are: course code (RO8007), Category (PE), Contact Periods\/week (3), Teaching hours\/week (3), Practical Hours\/week (0). The total course credits are given in combined syllabus.<\/p>\n<p>For all other robotics &amp; automation 7th sem syllabus for be 2017 regulation anna univ you can visit <a href=\"..\/robotics-automation-7th-sem-syllabus-for-be-2017-regulation-anna-univ\">Robotics &amp; Automation 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects<\/a>. For all other Professional Elective IV subjects do refer to <a href=\"..\/professional-elective-iv-robotics-automation-7th-sem-syllabus-for-be-2017-regulation-anna-univ\">Professional Elective IV<\/a>. The detail syllabus for neural networks and fuzzy systems is as follows.<\/p>\n<h4>Course Objective:<\/h4>\n<p>The student should be made to:<\/p>\n<ul>\n<li>Learn the various soft computing frame works<\/li>\n<li>Be familiar with design of various neural networks<\/li>\n<li>Be exposed to fuzzy logic<\/li>\n<li>Learn genetic programming<\/li>\n<li>Be exposed to hybrid systems<\/li>\n<\/ul>\n<h4>Unit I<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<h4>Unit II<\/h4>\n<p><strong>Pattern Association<\/strong><br \/>\nTraining Algorithms for Pattern Association &#8211; Hebb rule and Delta rule, Heteroassociative, Autoassociative and Iterative Auto associative Net, Bidirectional Associative Memory &#8211; Architecture, Algorithm, and Simple Applications.<\/p>\n<h4>Unit III<\/h4>\n<p><strong>Competition, Adaptive Resonance and Back Propagation Neural Networks<\/strong><br \/>\nKohonen Self Organising Maps, Learning Vector Quantization, Counter Propagation &#8211; Architecture, Algorithm and Applications &#8211; ART1 and ART2 &#8211; Basic Operation and Algorithm, Standard Backpropagation Architecture, derivation of Learning Rules, Boltzmann Machine Learning -Architecture, Algorithm and Simple Applications.<\/p>\n<h4>Unit IV<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<h4>Unit V<\/h4>\n<p><strong>Membership Functions<\/strong><br \/>\nFeatures of membership function, Standard forms and Boundaries, fuzzification, membership value assignments, Fuzzy to Crisp Conversions, Lambda Cuts for fuzzy sets and relations, Defuzzification methods.<br \/>\nAPPLICATIONS: Neural Networks: Robotics, Image compression, Control systems &#8211; Fuzzy Logic: Mobile robot navigation, Autotuning a PID Controller.<\/p>\n<h4>Course Outcome:<\/h4>\n<p>Upon completion of the course, the student should be able to:<\/p>\n<ul>\n<li>Apply various soft computing frame works<\/li>\n<li>Design of various neural networks<\/li>\n<li>Use fuzzy logic<\/li>\n<li>Apply genetic programming<\/li>\n<li>Discuss hybrid soft computing<\/li>\n<\/ul>\n<h4>Text Books:<\/h4>\n<ol>\n<li>Sivanandam S N, Sumathi S, Deepa S N, Introduction to Neural Networks using Mat lab 6.0, Tata McGraw Hill Publications, New Delhi, 2006.<\/li>\n<li>Timothy Ross, Fuzzy Logic with Engineering Applications, McGraw Hill, Singapore, 2002.<\/li>\n<\/ol>\n<h4>References:<\/h4>\n<ol>\n<li>John Yen and Rezalangari, &#8220;Fuzzy Logic, Intelligence, Control and Information &#8220;, Pearson Education, New Delhi, 2007.<\/li>\n<li>Mohammad H Hassoun, &#8220;Fundamentals of Neural Networks&#8221;, Prentice hall of India, New Delhi, 2002.<\/li>\n<\/ol>\n<p>For detail syllabus of all other subjects of BE Robotics &amp; Automation, 2017 regulation do visit <a href=\"https:\/\/www.inspirenignite.com\/anna-university\/robotics-automation-7th-sem-syllabus-for-be-2017-regulation-anna-univ\/\">Robotics &amp; Automation 7th Sem syllabus for 2017 Regulation<\/a>.<\/p>\n<p>Dont forget to <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a> for latest syllabus and results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Neural Networks and Fuzzy Systems Robotics &amp; Automation 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV) detail syllabus for Robotics And Automation Engineering (Robotics &amp; Automation), [&hellip;]<\/p>\n","protected":false},"author":2297,"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":[50,64],"tags":[],"class_list":["post-18333","post","type-post","status-publish","format-standard","hentry","category-7th-sem","category-robotics"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/18333","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=18333"}],"version-history":[{"count":1,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/18333\/revisions"}],"predecessor-version":[{"id":27801,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/18333\/revisions\/27801"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=18333"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=18333"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=18333"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}