{"id":272,"date":"2016-07-21T14:40:16","date_gmt":"2016-07-21T14:40:16","guid":{"rendered":"http:\/\/www.inspirenignite.com\/jntuk\/?p=272"},"modified":"2016-08-07T12:12:54","modified_gmt":"2016-08-07T12:12:54","slug":"jntuk-b-tech-ai-techniques-elective-iv-for-r13-batch","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuk\/jntuk-b-tech-ai-techniques-elective-iv-for-r13-batch\/","title":{"rendered":"JNTUK B.Tech AI Techniques (Elective \u2013 IV) for R13 Batch."},"content":{"rendered":"<p>JNTUK B.Tech AI Techniques (Elective \u2013 IV) R13 Syllabus for Engineering it gives you detail information of AI Techniques (Elective \u2013 IV) syllabus.<\/p><div class=\"a9916ad81d5189659b0bfae0b37c143c\" data-index=\"1\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<ins class=\"adsbygoogle\"\r\n     style=\"display:block; text-align:center;\"\r\n     data-ad-layout=\"in-article\"\r\n     data-ad-format=\"fluid\"\r\n     data-ad-client=\"ca-pub-1181153414625576\"\r\n     data-ad-slot=\"9648548092\"><\/ins>\r\n<script>\r\n     (adsbygoogle = window.adsbygoogle || []).push({});\r\n<\/script>\n<\/div>\n\n<p><strong>Preamble<\/strong><\/p>\n<p>The aim of this course is to study the AI techniques such as neural networks and fuzzy systems. The course focuses on the application of AI techniques to electrical engineering.<\/p>\n<p><strong>Learning Objectives<\/strong><\/p>\n<ul>\n<li>To study various methods of AI<\/li>\n<li>To study the models and architecture of artificial neural networks.<\/li>\n<li>To study the ANN paradigms.<\/li>\n<li>To study the fuzzy sets and operations.<\/li>\n<li>To study the fuzzy logic systems.<\/li>\n<li>To study the applications of AI.<\/li>\n<\/ul>\n<p><strong>UNIT\u2013I<\/strong><\/p>\n<p><strong>Introduction to AI techniques<\/strong> : Introduction to artificial intelligence systems\u2013 Humans and Computers \u2013 Knowledge representation \u2013 Learning process \u2013 Learning tasks \u2013 Methods of AI techniques.<\/p>\n<p><strong>UNIT\u2013II<\/strong><\/p>\n<ul>\n<li><strong>Neural Networks<\/strong> : Organization of the Brain \u2013 Biological Neuron \u2013 Biological and Artificial\u00a0neuron Models, MC Culloch-pitts neuron model, Activation functions, Learning rules, neural network architectures- Single-layer feed-forward<\/li>\n<li><strong>networks:<\/strong> \u2013 Perceptron, Learning algorithm for perceptron- limitations of Perceptron model<\/li>\n<\/ul>\n<p><strong>UNIT\u2013III<\/strong><\/p>\n<p><strong>ANN paradigm<\/strong> : Multi-layer feed-forward network (based on Back propagation algorithm)\u2013 Radial-basisn function networks- Recurrent networks (Hopfield networks).<\/p>\n<p><strong>UNIT \u2013 IV<\/strong><\/p>\n<p><strong>Classical and Fuzzy Sets<\/strong> : Introduction to classical sets \u2013 properties \u2013 Operations and relations \u2013 Fuzzy sets \u2013Membership \u2013 Uncertainty \u2013 Operations \u2013 Properties \u2013 Fuzzy relations \u2013 Cardinalities \u2013 Membership functions.<\/p>\n<p><strong>UNIT\u2013V<\/strong><\/p>\n<p><strong>Fuzzy Logic System Components :<\/strong> Fuzzification \u2013 Membership value assignmen \u2013 Development of rule base and decision making system \u2013 Defuzzification to crisp sets \u2013 Defuzzification methods \u2013 Basic hybrid system.<\/p>\n<p><strong>UNIT\u2013VI<\/strong><\/p>\n<p><strong>Application of AI techniques :<\/strong> Load forecasting \u2013 Load flow studies \u2013 Economic load dispatch \u2013 Load frequency control \u2013 Reactive power control \u2013 Speed control of dc and ac motors.<\/p>\n<p><strong>Text Books<\/strong><\/p>\n<ul>\n<li>Neural Networks, Fuzzy logic, Genetic algorithms: synthesis and applications by S.Rajasekaran and G.A. Vijayalakshmi Pai \u2013 PHI Publication.<\/li>\n<li>Fuzzy logic with fuzzy applications- by T.J. Ross, TMH.<\/li>\n<\/ul>\n<p><strong>Reference Books<\/strong><\/p>\n<ul>\n<li>Introduction to Artificial Neural Systems \u2013 Jacek M. Zurada, Jaico Publishing House, 1997.<\/li>\n<li>Fundamentals of Neural Networks Architectures, Algorithms and Applications &#8211; by laurene Fausett, Pearson.<\/li>\n<li>Neural Networks, Algorithms, Applications and programming Techniques by James A. Freeman, David M. Skapura.<\/li>\n<li>Introduction to Neural Networks using MATLAB 6.0 by S N Sivanandam, S Sumathi, S N Deepa TMGH<\/li>\n<\/ul>\n<p>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<div class=\"a9916ad81d5189659b0bfae0b37c143c\" data-index=\"2\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<ins class=\"adsbygoogle\"\r\n     style=\"display:block; text-align:center;\"\r\n     data-ad-layout=\"in-article\"\r\n     data-ad-format=\"fluid\"\r\n     data-ad-client=\"ca-pub-1181153414625576\"\r\n     data-ad-slot=\"8060844699\"><\/ins>\r\n<script>\r\n     (adsbygoogle = window.adsbygoogle || []).push({});\r\n<\/script>\n<\/div>\n\n<div style=\"font-size: 0px; height: 0px; line-height: 0px; margin: 0; padding: 0; clear: both;\"><\/div>","protected":false},"excerpt":{"rendered":"<p>JNTUK B.Tech AI Techniques (Elective \u2013 IV) R13 Syllabus for Engineering it gives you detail information of AI Techniques (Elective \u2013 IV) syllabus. Preamble The aim of this course is [&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":[2],"tags":[],"class_list":["post-272","post","type-post","status-publish","format-standard","hentry","category-syllabus"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/272","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/users\/2259"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/comments?post=272"}],"version-history":[{"count":2,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/272\/revisions"}],"predecessor-version":[{"id":427,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/272\/revisions\/427"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/media?parent=272"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/categories?post=272"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/tags?post=272"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}