{"id":9926,"date":"2018-09-04T09:34:01","date_gmt":"2018-09-04T09:34:01","guid":{"rendered":"https:\/\/www.inspirenignite.com\/jntuh\/?p=9926"},"modified":"2026-05-24T10:51:29","modified_gmt":"2026-05-24T05:21:29","slug":"jntuh-m-tech-2017-2018-r17-detailed-syllabus-ai-techniques-in-electrical-engineering","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-m-tech-2017-2018-r17-detailed-syllabus-ai-techniques-in-electrical-engineering\/","title":{"rendered":"JNTUH M.Tech 2017-2018 (R17) Detailed Syllabus AI Techniques in Electrical Engineering"},"content":{"rendered":"AI Techniques in Electrical Engineering Detailed Syllabus for Power Electronics\/ Power And Industrial Drives\/ Power Electronics And Electric Drives 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 AI Techniques in Electrical Engineering 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>Course Objectives:<\/strong>\r\n<ul>\r\n \t<li>To locate soft commanding methodologies, such as artificial neural networks, Fuzzy logic and genetic Algorithms.<\/li>\r\n \t<li>To observe the concepts of feed forward neural networks and about feedback neural networks.<\/li>\r\n \t<li>To practice the concept of fuzziness involved in various systems and comprehensive knowledge of fuzzy logic control and to design the fuzzy control<\/li>\r\n \t<li>To analyze genetic algorithm, genetic operations and genetic mutations.<\/li>\r\n<\/ul>\r\n<strong>Course Outcomes:<\/strong> Upon the completion of this course, the student will be able to\r\n<ul>\r\n \t<li>Understand feed forward neural networks, feedback neural networks and learning techniques.<\/li>\r\n \t<li>Analyze fuzziness involved in various systems and fuzzy set theory.<\/li>\r\n \t<li>Develop fuzzy logic control for applications in electrical engineering<\/li>\r\n \t<li>Develop genetic algorithm for applications in electrical engineering.<\/li>\r\n<\/ul>\r\n<strong>UNIT \u2013 I: Artificial Neural Networks:<\/strong> Introduction-Models of Neural Network &#8211; Architectures \u2013 Knowledge representation \u2013 Artificial Intelligence and Neural networks \u2013 Learning process \u2013 Error correction learning \u2013 Hebbian learning \u2013 Competitive learning \u2013 Boltzman learning \u2013 Supervised learning \u2013 Unsupervised learning \u2013 Reinforcement learning &#8211; learning tasks.\r\n\r\n<strong>UNIT- II: ANN Paradigms :<\/strong> Multi \u2013 layer perceptron using Back propagation Algorithm-Self \u2013 organizing Map \u2013 Radial Basis Function Network \u2013 Functional link, network \u2013 Hopfield Network.\r\n\r\n<strong>UNIT \u2013 III: Fuzzy Logic:<\/strong> Introduction \u2013 Fuzzy versus crisp \u2013 Fuzzy sets &#8211; Membership function \u2013 Basic Fuzzy set operations \u2013 Properties of Fuzzy sets \u2013 Fuzzy cartesian Product \u2013 Operations on Fuzzy relations \u2013 Fuzzy logic \u2013 Fuzzy Quantifiers &#8211; Fuzzy Inference &#8211; Fuzzy Rule based system &#8211; Defuzzification methods.\r\n\r\n<strong>UNIT \u2013 IV: Genetic Algorithms:<\/strong> Introduction-Encoding \u2013 Fitness Function-Reproduction operators &#8211; Genetic Modeling \u2013 Genetic operators &#8211; Crossover &#8211; Single\u2013site crossover \u2013 Two-point crossover \u2013 Multi point crossover-Uniform crossover \u2013 Matrix crossover &#8211; Crossover Rate &#8211; Inversion &amp; Deletion \u2013 Mutation operator \u2013Mutation \u2013 Mutation Rate-Bit-wise operators &#8211; Generational cycle-convergence of Genetic Algorithm.\r\n\r\n<strong>UNIT\u2013V: Applications of AI Techniques:<\/strong> Load forecasting \u2013 Load flow studies \u2013 Economic load dispatch \u2013 Load frequency control \u2013 Single area system and two area system \u2013 Small Signal Stability (Dynamic stability) Reactive power control \u2013 speed control of DC and AC Motors.\r\n\r\n<strong>TEXT BOOK:<\/strong>\r\n<ul>\r\n \t<li>S. Rajasekaran and G. A. V. Pai, \u201cNeural Networks, Fuzzy Logic &amp; Genetic Algorithms\u201d- PHI, New Delhi, 2003.<\/li>\r\n<\/ul>\r\n<strong>REFERENCES:<\/strong>\r\n<ul>\r\n \t<li>P. D. Wasserman, Van Nostrand Reinhold, \u201dNeural Computing Theory &amp; Practice\u201d &#8211; New York, 1989.<\/li>\r\n \t<li>Bart Kosko, \u201dNeural Network &amp; Fuzzy System\u201d Prentice Hall, 1992.<\/li>\r\n \t<li>G. J. Klir and T. A. Folger, \u201dFuzzy sets, Uncertainty and Information\u201d-PHI, Pvt.Ltd,1994.<\/li>\r\n \t<li>D. E. Goldberg,\u201d Genetic Algorithms\u201d- Addison Wesley 1999<\/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-power-electronics-power-and-industrial-drives-power-electronics-and-electric-drives-for-m-tech-2017-2018-r17-batch\/\">JNTUH M.Tech Power Electronics\/ Power And Industrial Drives\/ Power Electronics And Electric Drives 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>AI Techniques in Electrical Engineering Detailed Syllabus for Power Electronics\/ Power And Industrial Drives\/ Power Electronics And Electric Drives M.Tech first year second sem is covered here. This gives the [&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-9926","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\/9926","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=9926"}],"version-history":[{"count":4,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/9926\/revisions"}],"predecessor-version":[{"id":40375,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/9926\/revisions\/40375"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/media?parent=9926"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/categories?post=9926"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/tags?post=9926"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}