{"id":18528,"date":"2019-12-10T05:39:22","date_gmt":"2019-12-10T05:39:22","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/soft-computing-techniques-bme-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iii\/"},"modified":"2019-12-10T05:39:22","modified_gmt":"2019-12-10T05:39:22","slug":"soft-computing-techniques-bme-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/soft-computing-techniques-bme-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iii\/","title":{"rendered":"Soft Computing Techniques Bme 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective III)"},"content":{"rendered":"<p>Soft Computing Techniques Bme 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective III) detail syllabus for Biomedical Engineering (Bme), 2017 regulation is collected from the <a href=\"https:\/\/www.annauniv.edu\/\" target=\"_blank\" rel=\"noopener\">Anna Univ<\/a> official website and presented for students of Anna University. The details of the course are: course code (BM8078), Category (PE), Contact Periods\/week (3), Teaching hours\/week (3), Practical Hours\/week (0). The total course credits are given in combined syllabus.<\/p>\n<p>For all other bme 7th sem syllabus for be 2017 regulation anna univ you can visit <a href=\"..\/bme-7th-sem-syllabus-for-be-2017-regulation-anna-univ\">Bme 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects<\/a>. For all other Professional Elective III subjects do refer to <a href=\"..\/professional-elective-iii-bme-7th-sem-syllabus-for-be-2017-regulation-anna-univ\">Professional Elective III<\/a>. The detail syllabus for soft computing techniques is as follows.<\/p>\n<p><h4>Course Objective:<\/h4>\n<p>The student should be made to<\/p>\n<ul>\n<li>Understand the different soft computing techniques.<\/li>\n<li>Understand neural network architectures and learning algorithms, for different applications<\/li>\n<li>Explore the use of Fuzzy and Genetic Algorithm<\/li>\n<li>Understand different Optimization techniques in soft computing<\/li>\n<li>To introduce Hybrid and Other advanced model in soft computing.<\/li>\n<\/ul>\n<p><h4>Unit I<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit II<\/h4>\n<p><strong>Fuzzy Set Theory<\/strong><br \/>\nIntroduction to Fuzzy &#8211; Fuzzy Sets &#8211; Basic Definition and Terminology &#8211; Set-theoretic Operations<br \/>\n&#8211;\tMember Function Formulation and Parameterization &#8211; Fuzzy Rules and Fuzzy Reasoning -Extension Principle and Fuzzy Relations &#8211; Fuzzy If-Then Rules &#8211; Fuzzy Reasoning &#8211; Fuzzy Inference Systems &#8211; Mamdani Fuzzy Models &#8211; Sugeno Fuzzy Models &#8211; Tsukamoto Fuzzy Models<br \/>\n&#8211;\tInput Space Partitioning and Fuzzy Modelling.\n<\/p>\n<p><h4>Unit III<\/h4>\n<p><strong>Genetic Algorithm<\/strong><br \/>\nGenetic Algorithms: Introduction to Genetic Algorithms (GA), Representation, Operators in GA, Fitness function, population, building block hypothesis and schema theorem.; Genetic algorithms operators methods of selection, crossover and mutation, simple GA (SGA), other types of GA, generation gap, steady state GA.\n<\/p>\n<p><h4>Unit IV<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit V<\/h4>\n<p><strong>Hybrid and Advanced Model in Soft Computing<\/strong><br \/>\nGenetic Algorithm based Back propagation Network, Fuzzy Logic Controlled Genetic Algorithms, Neuro-fuzzy hybrid systems, Support Vector Machine, Extreme Learning Machine (ELM), Extended ELM, Random Forest Algorithm.\n<\/p>\n<p><h4>Course Outcome:<\/h4>\n<p>Upon successful completion of the course student should be able to<\/p>\n<ul>\n<li>Describe various neural, fuzzy and Genetic algorithms.<\/li>\n<li>Implement Neural, Genetic and Fuzzy algorithms for various classification applications<\/li>\n<\/ul>\n<p><h4>Text Books:<\/h4>\n<ol>\n<li>J.S.R.Jang, C.T.Sun and E.Mizutani, Neuro-Fuzzy and Soft Computing, PHI, 2004, Pearson Education 2004.<\/li>\n<li>James A Freeman and David M.Skapra, Neural Networks: Algorithms, Applications, and Programming Techniques, Addison-Wesley, 1991, Digital Version 2007.<\/li>\n<li>Davis E.Goldberg, Genetic Algorithms: Search, Optimization and MachineLearning, Addison Wesley, N.Y., 1989<\/li>\n<\/ol>\n<p><h4>References:<\/h4>\n<ol>\n<li>LaureneFausett, Fundamentals of neural networks- Architectures, algorithms and applications, Prentice Hall, 1994.<\/li>\n<li>Simon O. Haykins,Neural Networks: A Comprehensive Foundation, 2nd Edition, Pearson 1994<\/li>\n<li>Zimmermann H.J. &#8220;Fuzzy set theory and its Applications&#8221; Springer international edition, 2011.<\/li>\n<\/li>\n<\/ol>\n<p>For detail syllabus of all other subjects of BE Bme, 2017 regulation do visit <a href=\"..\/category\/bme+7th-sem\">Bme 7th Sem syllabus for 2017 Regulation<\/a>.<\/p>\n<p>Dont forget to <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a> for latest syllabus and results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Soft Computing Techniques Bme 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective III) detail syllabus for Biomedical Engineering (Bme), 2017 regulation is collected from the Anna Univ [&hellip;]<\/p>\n","protected":false},"author":2297,"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":[50,67],"tags":[],"class_list":["post-18528","post","type-post","status-publish","format-standard","hentry","category-7th-sem","category-bme"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/18528","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\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=18528"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/18528\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=18528"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=18528"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=18528"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}