{"id":2401,"date":"2016-12-10T16:02:01","date_gmt":"2016-12-10T16:02:01","guid":{"rendered":"http:\/\/www.inspirenignite.com\/anna-university\/?p=2401"},"modified":"2019-07-18T08:27:05","modified_gmt":"2019-07-18T08:27:05","slug":"anna-university-b-tech-pr-r13-6th-sem-fuzzy-logic-ann-detailed-syllabus","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-b-tech-pr-r13-6th-sem-fuzzy-logic-ann-detailed-syllabus\/","title":{"rendered":"Anna University B.Tech PR (R13) 6th Sem Fuzzy Logic and ANN Detailed Syllabus"},"content":{"rendered":"<p>Fuzzy Logic and ANN Syllabus for B.Tech 6th 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 Fuzzy Logic and ANN B.Tech (R13) sixthsem is as follows<\/p>\n<p><strong>OBJECTIVES<\/strong>:<\/p>\n<ul>\n<li>To impact knowledge on fuzzy logic principles<\/li>\n<li>To understand models of ANN<\/li>\n<li>To use the fuzzy logic and neural network for application related to design and manufacture<\/li>\n<\/ul>\n<p><strong>UNIT I : INTRODUCTION TO FUZZY LOGIC PRINCIPLES<\/strong> \u00a0 \u00a0 \u00a0[9 Hours]<br \/>\nBasic concepts of fuzzy set theory \u2013 operations of fuzzy sets \u2013 properties of fuzzy sets \u2013 Crisp relations \u2013 Fuzzy relational equations \u2013 operations on fuzzy relations \u2013 fuzzy systems \u2013 propositional logic \u2013 Inference \u2013 Predicate Logic \u2013 Inference in predicate logic \u2013 fuzzy logic principles \u2013 fuzzy quantifiers \u2013 fuzzy inference \u2013 fuzzy rule based systems \u2013 fuzzification and defuzzification \u2013 types.<\/p>\n<p><strong>UNIT II : ADVANCED FUZZY LOGIC APPLICATIONS<\/strong> \u00a0 \u00a0 \u00a0[9 Hours]<br \/>\nFuzzy logic controllers \u2013 principles \u2013 review of control systems theory \u2013 various industrial applications of FLC adaptive fuzzy systems \u2013 fuzzy decision making \u2013 Multiobjective decision making \u2013 fuzzy classification \u2013 means clustering \u2013 fuzzy pattern recognition \u2013 image processing applications \u2013 systactic recognition \u2013 fuzzy optimization.<\/p>\n<p><strong>UNIT III : INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS<\/strong> \u00a0 \u00a0 \u00a0[9 Hours]<br \/>\nFundamentals of neural networks \u2013 model of an artificial neuron \u2013 neural network architectures \u2013 Learning methods \u2013 Taxonomy of Neural network architectures \u2013 Standard back propagation algorithms \u2013 selection of various parameters \u2013 variations Applications of back propagation algorithms.<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\"><strong>Download iStudy\u00a0Android\u00a0App for complete Anna University syllabus, results, timetables and all other updates. There are no ads and no pdfs and will make your life way easier.<\/strong><\/a><\/p>\n<p><strong>[TOTAL: 45 PERIODS]<\/strong><\/p>\n<p><strong>OUTCOMES<\/strong>:<\/p>\n<ul>\n<li>Develop the skill in basic understanding on fuzzy and neural network<\/li>\n<li>Explore the functional components of neural classification conducer and the functional components of fuzzy logic classification on controller.<\/li>\n<li>Develop and implement a basic trainable neural network (or) a fuzzy logic system to design and manufacturing.<\/li>\n<\/ul>\n<p><strong>TEXT BOOKS:<\/strong><\/p>\n<ul>\n<li>Rajasekaran. S.. Vijayalakshmi Pai. G.A. \u201cNeural Networks, Fuzzy Logic and Genetic Algorithms\u201d, Prentice Hall of India Private Limited, 2003<\/li>\n<li>Timothy J.Ross, \u201cFuzzy logic with Engineering Applications\u201d, McGraw Hill, 1995<\/li>\n<li>Zurada J.M. \u201cIntroduction to Artificial Neural Systems\u201d, Jaico publishing house, 1994.<\/li>\n<\/ul>\n<p><strong>REFERENCES:<\/strong><\/p>\n<ul>\n<li>Klir.G, Yuan B.B. \u201cFuzzy sets and Fuzzy Logic Prentice Hall of India private limited, 1997.<\/li>\n<li>Laurance Fausett, \u201cFundamentals of Neural Networks\u201d, Prentice hall, 1992<\/li>\n<li>Gen, M. and Cheng R. \u201cGenetic Algorithm and Engineering Design\u201d, john wiley 1997<\/li>\n<\/ul>\n<p>For all other B.Tech PR 6th sem syllabus go to <a href=\"http:\/\/www.inspirenignite.com\/anna-university\/anna-university-b-tech-production-engineering-6th-sem-course-structure-for-r13-batch\/\">Anna University B.Tech PRODUCTION ENGINEERING (PR) 6th Sem Course Structure for (R13) Batch.<\/a>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>Fuzzy Logic and ANN Syllabus for B.Tech 6th sem is covered here. This gives the details about credits, number of hours and other details along with reference books for 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":[1],"tags":[],"class_list":["post-2401","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/2401","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2259"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=2401"}],"version-history":[{"count":2,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/2401\/revisions"}],"predecessor-version":[{"id":11366,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/2401\/revisions\/11366"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=2401"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=2401"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=2401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}