{"id":585,"date":"2016-07-24T14:04:59","date_gmt":"2016-07-24T14:04:59","guid":{"rendered":"http:\/\/www.inspirenignite.com\/jntuk\/?p=585"},"modified":"2016-08-07T14:14:55","modified_gmt":"2016-08-07T14:14:55","slug":"jntuk-b-tech-neural-networks-soft-computing-elective-iv-for-r13-batch","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuk\/jntuk-b-tech-neural-networks-soft-computing-elective-iv-for-r13-batch\/","title":{"rendered":"JNTUK B.Tech Neural Networks &amp; Soft Computing (Elective \u2013 IV) for R13 Batch."},"content":{"rendered":"<p>JNTUK B.Tech Neural Networks &amp; Soft Computing (Elective \u2013 IV) gives you detail information of Neural Networks &amp; Soft Computing (Elective \u2013 IV) R13 syllabus It will be help full to understand you complete curriculum of the year.<\/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>Course Objectives<\/strong><\/p>\n<ul>\n<li>To have a detailed study of neural networks, Fuzzy Logic and uses of Heuristics based on human experience.<\/li>\n<li>To Familiarize with Soft computing concepts.<\/li>\n<li>To introduce the concepts of genetic algorithm and its applications to soft computing using some applications<\/li>\n<\/ul>\n<p><strong>Course Outcomes<\/strong><\/p>\n<ul>\n<li>Identify and describe soft computing techniques and their roles in building intelligent machines.<\/li>\n<li>Recognize the feasibility of applying a soft computing methodology for a particular problem.<\/li>\n<li>Apply fuzzy logic and reasoning to handle uncertainty and solve engineering problems.<\/li>\n<\/ul>\n<p><strong>Syllabus<\/strong><\/p>\n<p><strong>UNIT I: INTRODUCTION:<\/strong> what is a neural network? Human Brain, Models of a Neuron, Neural networks viewed as Directed Graphs, Network Architectures, Knowledge Representation, Artificial Intelligence and Neural<\/p>\n<p><strong>UNIT II: LEARNING PROCESS<\/strong>: Error Correction learning, Memory based learning, Hebbian learning, Competitive, Boltzmann learning, Credit Assignment Problem, Memory, Adaption, Statistical nature of the learning process.<\/p>\n<p><strong>UNIT III: CLASSICAL &amp; FUZZY SETS:<\/strong> Introduction to classical sets \u2013 properties, operations and relations; Fuzzy sets \u2013 memberships, uncertainty, operations, properties, fuzzy relations, cardinalities, membership functions.<\/p>\n<p><strong>UNIT IV: FUZZY LOGIC SYSTEM COMPONENTS:<\/strong> Fuzzification, Membership value assignment, development of rule base and decision making system, Defuzzification to crisp sets, Defuzzification methods<\/p>\n<p><strong>UNIT V: CONCEPT LEARNING:<\/strong> Introduction, A concept learning task, Concept learning as search, Find-S: finding a maximally specific hypothesis, Version spaces and the candidate elimination algorithm DECISION TREE LEARNING: Introduction, Decision tree representation, Appropriate problems for decision tree learning, The basic decision tree learning algorithm, Hypothesis space search in decision tree learning<\/p>\n<p><strong>UNIT VI: GENETIC ALGORITHMS:<\/strong> Motivation, Genetic Algorithms, an Illustrative Example, Hypothesis Space Search, Genetic Programming, Models of Evolution and Learning, Parallelizing Genetic Algorithms<\/p>\n<p><strong>TEXT BOOKS<\/strong><\/p>\n<ul>\n<li>Neural networks A comprehensive foundations, Simon Hhaykin, Pearson Education 2nd edition2004<\/li>\n<li>Neural Networks, Fuzzy Logic, Genetic Algorithms: Sysnthesis and Applications by Rajasekharan and Pai, PHI Publications<\/li>\n<li>Machine Learning, Tom M. Mitchell, MGH<\/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 Neural Networks &amp; Soft Computing (Elective \u2013 IV) gives you detail information of Neural Networks &amp; Soft Computing (Elective \u2013 IV) R13 syllabus It will be help full [&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-585","post","type-post","status-publish","format-standard","hentry","category-syllabus"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/585","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=585"}],"version-history":[{"count":1,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/585\/revisions"}],"predecessor-version":[{"id":586,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/585\/revisions\/586"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/media?parent=585"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/categories?post=585"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/tags?post=585"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}