{"id":5613,"date":"2018-01-23T14:00:27","date_gmt":"2018-01-23T14:00:27","guid":{"rendered":"http:\/\/www.inspirenignite.com\/jntuh\/?p=5613"},"modified":"2019-07-15T09:40:20","modified_gmt":"2019-07-15T09:40:20","slug":"jntuh-b-tech-2016-2017-r16-detailed-syllabus-soft-computing-techniques","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-b-tech-2016-2017-r16-detailed-syllabus-soft-computing-techniques\/","title":{"rendered":"JNTUH B.Tech 2016-2017 (R16) Detailed Syllabus Soft Computing Techniques"},"content":{"rendered":"<p>Soft Computing Techniques Detailed Syllabus for B.Tech third 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.<\/p>\n<p>The detailed syllabus for Soft Computing Techniques B.Tech 2016-2017 (R16) third year second sem is as follows.<\/p>\n<p>B.Tech. III Year II Sem. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 L\/T\/P\/C<br \/>\nCourse Code:EM621OE \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 3\/0\/0\/3<br \/>\nPrerequisite: Nil.<\/p>\n<p><strong>Course Objectives:<\/strong> This course makes the students to Understand<\/p>\n<ul>\n<li>Fundamentals of Neural Networks &amp; Feed Forward Networks.<\/li>\n<li>Associative Memories &amp; ART Neural Networks.<\/li>\n<li>Fuzzy Logic &amp; Systems.<\/li>\n<li>Genetic Algorithms and Hybrid Systems.<\/li>\n<\/ul>\n<p><strong>Course Outcomes:<\/strong> On completion of this course the students will be able to<\/p>\n<ul>\n<li>Identify and employ suitable soft computing techniques in classification and\u00a0optimization problems.<\/li>\n<li>Design hybrid systems to suit a given real \u2013 life problem.<\/li>\n<\/ul>\n<p><strong>UNIT \u2013I:\u00a0Fundamentals of Neural Networks &amp; Feed Forward Networks:\u00a0<\/strong>Basic Concept of Neural Networks, Human Brain, Models of an Artificial Neuron, Learning\u00a0Methods, Neural Networks Architectures, Single Layer Feed Forward Neural Network :The\u00a0Perceptron Model, Multilayer Feed Forward Neural Network :Architecture of a Back\u00a0Propagation Network (BPN), The Solution, Back propagation Learning, Selection of various\u00a0Parameters in BPN. Application of Back propagation Networks in Pattern Recognition &amp;\u00a0Image Processing.<\/p>\n<p><strong>UNIT \u2013II:\u00a0Associative Memories &amp; ART Neural Networks:\u00a0<\/strong>Basic concepts of Linear Associator, Basic concepts of Dynamical systems, Mathematical\u00a0Foundation of Discrete-Time Hop field Networks(HPF), Mathematical Foundation of\u00a0Gradient-Type Hopfield Networks, Transient response of Continuous Time Networks,\u00a0Applications of HPF in Solution of Optimization Problem: Minimization of the Traveling\u00a0salesman tour length, Summing networks with digital outputs, Solving Simultaneous Linear\u00a0Equations, Bidirectional Associative Memory Networks; Cluster Structure, Vector\u00a0Quantization, Classical ART Networks, Simplified ART Architecture.<\/p>\n<p><strong>UNIT \u2013III:\u00a0Fuzzy Logic &amp; Systems:\u00a0<\/strong>Fuzzy sets, Crisp Relations, Fuzzy Relations, Crisp Logic, Predicate Logic, Fuzzy Logic,\u00a0Fuzzy Rule based system, Defuzzification Methods, Applications: Greg Viot\u2019s Fuzzy Cruise\u00a0Controller, Air Conditioner Controller.<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\"><strong><span style=\"color: #ff0000\">Download iStudy Android App for complete JNTUH syllabus, results, timetables and all other updates. There are no ads and no pdfs and will make your life way easier<\/span>.<\/strong><\/a><\/p>\n<p><strong>TEXT BOOKS:<\/strong><\/p>\n<ul>\n<li>Introduction to Artificial Neural Systems &#8211; J.M.Zurada, Jaico Publishers<\/li>\n<li>Neural Networks, Fuzzy Logic &amp; Genetic Algorithms: Synthesis &amp; Applications &#8211;\u00a0S.Rajasekaran, G.A. Vijayalakshmi Pai, July 2011, PHI, New Delhi.<\/li>\n<li>Genetic Algorithms by David E. Gold Berg, Pearson Education India, 2006.<\/li>\n<li>Neural Networks &amp; Fuzzy Sytems- Kosko.B., PHI, Delhi,1994.<\/li>\n<\/ul>\n<p><strong>REFERENCE BOOKS:<\/strong><\/p>\n<ul>\n<li>Artificial Neural Networks &#8211; Dr. B. Yagananarayana, 1999, PHI, New Delhi.<\/li>\n<li>An introduction to Genetic Algorithms &#8211; Mitchell Melanie, MIT Press, 1998<\/li>\n<li>Fuzzy Sets, Uncertainty and Information- Klir G.J. &amp; Folger. T. A., PHI, Delhi, 1993<\/li>\n<\/ul>\n<p>For all other B.Tech 3rd Year 2nd Sem syllabus go to <a href=\"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-third-year-second-sem-electronics-computer-engineering-course-structure-2016-2017-r16-batch\/\">JNTUH B.Tech Electronics and Computer Engineering<\/a><a href=\"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-third-year-second-sem-electronics-computer-engineering-course-structure-2016-2017-r16-batch\/\">\u00a03rd\u00a0Year 2nd Sem Course Structure for (R16) Batch.<\/a><\/p>\n<p>All 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.<\/p>\n<p>Do share with friends and in case of questions please feel free drop a comment.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Soft Computing Techniques Detailed Syllabus for B.Tech third year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books [&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":[62],"tags":[],"class_list":["post-5613","post","type-post","status-publish","format-standard","hentry","category-syllabus"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/5613","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=5613"}],"version-history":[{"count":3,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/5613\/revisions"}],"predecessor-version":[{"id":18560,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/5613\/revisions\/18560"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/media?parent=5613"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/categories?post=5613"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/tags?post=5613"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}