{"id":12425,"date":"2018-09-10T18:20:30","date_gmt":"2018-09-10T18:20:30","guid":{"rendered":"https:\/\/www.inspirenignite.com\/jntuh\/?p=12425"},"modified":"2026-05-24T10:28:15","modified_gmt":"2026-05-24T04:58:15","slug":"jntuh-m-tech-2017-2018-r17-detailed-syllabus-fuzzy-logic-neural-networks","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-m-tech-2017-2018-r17-detailed-syllabus-fuzzy-logic-neural-networks\/","title":{"rendered":"JNTUH M.Tech 2017-2018 (R17) Detailed Syllabus Fuzzy Logic &amp; Neural Networks"},"content":{"rendered":"Fuzzy Logic &amp; Neural Networks Detailed Syllabus for Mechatronics M.Tech first year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.\r\n\r\nThe detailed syllabus for Fuzzy Logic &amp; Neural Networks M.Tech 2017-2018 (R17) first year second sem is as follows.\r\n\r\nM.Tech. I Year II Sem.\r\n\r\n<strong>UNIT- I : Fuzzy Set Theory and Fuzzy Logic Control:<\/strong>\r\nBasic concepts of fuzzy sets- Operations on fuzzy sets- Fuzzy relation equations- Fuzzy logic controlFuzzification \u2013Defuzzificatiuon- Knowledge base- Decision making logic- Membership functions \u2013 Rule base.\r\n\r\n<strong>UNIT- II : Adaptive Fuzzy Systems:<\/strong>\r\nPerformance index- Modification of rule base0- Modification of membership functions- Simultaneous modification of rule base and membership functions- Genetic algorithms-Adaptive fuzzy system Neuro fuzzy systems.\r\n\r\n<strong>UNIT- III : Artificial Neural Networks:<\/strong>\r\nIntroduction- History of neural networks- multilayer perceptions- Back propagation algorithm and its Variants- Different types of learning, examples.\r\n\r\n<strong>UNIT- IV : Mapping and Recurrent Net works:<\/strong>\r\nCounter propagation \u2013Self organization Map- Congnitron and Neocognitron- Hopfield Net- Kohonnen Nets- Grossberg Nets- Art-I, Art-II reinforcement learning\r\n\r\n<strong>UNIT- V : Case Studies:<\/strong>\r\nApplication of fuzzy logic and neural networks to Measurement- Control- Adaptive Neural Controllers \u2013 Signal Processing and Image Processing\r\n\r\n<strong>TEXT BOOK:<\/strong>\r\n<ul>\r\n \t<li>Vallum B. R And Hayagriva V.R C++, Neural networks and Fuzzy logic, BPB Publications, New Delhi, 1996<\/li>\r\n<\/ul>\r\n<strong>REFERENCE BOOKS:<\/strong>\r\n<ul>\r\n \t<li>Fuzzy logic &amp;Neural Networks\/ Chennakesava R. Alavala\/ New Age International, 2008<\/li>\r\n \t<li>Neural Networks for control, Millon W. T, Sutton R.S and Werbos P.J, MIT Press 1992<\/li>\r\n \t<li>Fuzzy sets Fuzzy logic, Klir, G.J anfd Yuan B.B Prentice Hall of India Pvt. Ltd.,, New Delhi<\/li>\r\n \t<li>Neural Networks and Fuzzy systems, Kosko.. Prentice hall of India Pvt. Ltd.,, New Delhi 1994<\/li>\r\n \t<li>Introduction to Fuzzy control, Dirankov D. Hellendoorn H, Reinfrank M., Narosa Publications House, New Delhi 1996<\/li>\r\n \t<li>Introduction to Artificial Neural systems, Zurada J. M Jaico Publishing House, New Delhi 1994<\/li>\r\n<\/ul>\r\nFor all other M.Tech 1st Year 2nd Sem syllabus go to <a href=\"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-first-year-second-sem-mechatronics-for-m-tech-2017-2018-r17-batch\/\">JNTUH M.Tech Mechatronics 1st Year 2nd Sem Course Structure for (R17) Batch.<\/a>\r\n\r\nAll details and yearly new syllabus will be updated here time to time. Subscribe, like us on facebook and follow us on google plus for all updates.\r\n\r\nDo share with friends and in case of questions please feel free drop a comment.\n\n<h2>Download iStudy App (Android &amp; iOS)<\/h2>\n<div style=\"width: 100%;text-align: center;background: #f0f7ff;border: 1px solid #d9e8ff;border-radius: 10px;padding: 12px 10px;margin: 8px 0 12px 0\">\n<p style=\"margin: 0 0 8px 0\">Get instant JNTUH updates, timetables, results, and notices on mobile.<\/p>\n<div style=\"justify-content: center;align-items: flex-start;gap: 24px;flex-wrap: wrap\">\n<div style=\"flex-direction: column;align-items: center;gap: 2px\"><img decoding=\"async\" style=\"height: 54px;width: auto\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" \/>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0<img decoding=\"async\" style=\"height: 80px;width: 80px\" src=\"https:\/\/api.qrserver.com\/v1\/create-qr-code\/?size=120x120&amp;data=https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" alt=\"Android app QR code\" \/><\/div>\n<div>\u00a0<\/div>\n<div style=\"flex-direction: column;align-items: center;gap: 2px\"><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">Android App<\/a><\/div>\n<div>\u00a0<\/div>\n<div style=\"flex-direction: column;align-items: center;gap: 2px\"><img decoding=\"async\" style=\"height: 40px;width: auto\" src=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/3\/3c\/Download_on_the_App_Store_Badge.svg\" alt=\"Download on the App Store\" \/>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0<img decoding=\"async\" style=\"height: 80px;width: 80px\" src=\"https:\/\/api.qrserver.com\/v1\/create-qr-code\/?size=120x120&amp;data=https:\/\/apps.apple.com\/us\/app\/istudy-app-syllabus-papers\/id6478500231\" alt=\"iOS app QR code\" \/><\/div>\n<div>\u00a0<\/div>\n<div style=\"flex-direction: column;align-items: center;gap: 2px\"><a href=\"https:\/\/apps.apple.com\/us\/app\/istudy-app-syllabus-papers\/id6478500231\" target=\"_blank\" rel=\"noopener\">iOS App <\/a><\/div>\n<\/div>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fuzzy Logic &amp; Neural Networks Detailed Syllabus for Mechatronics M.Tech first year second sem is covered here. This gives the details about credits, number of hours and other details along [&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":[73,62],"tags":[],"class_list":["post-12425","post","type-post","status-publish","format-standard","hentry","category-m-tech","category-syllabus"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/12425","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=12425"}],"version-history":[{"count":3,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/12425\/revisions"}],"predecessor-version":[{"id":39493,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/12425\/revisions\/39493"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/media?parent=12425"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/categories?post=12425"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/tags?post=12425"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}