{"id":18569,"date":"2020-09-11T11:02:01","date_gmt":"2020-09-11T11:02:01","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/bteee604c-artificial-neural-network-syllabus-for-ee-6th-sem-2019-20-dbatu-elective-vi\/"},"modified":"2020-09-11T11:02:01","modified_gmt":"2020-09-11T11:02:01","slug":"bteee604c-artificial-neural-network-syllabus-for-ee-6th-sem-2019-20-dbatu-elective-vi","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/bteee604c-artificial-neural-network-syllabus-for-ee-6th-sem-2019-20-dbatu-elective-vi\/","title":{"rendered":"BTEEE604C: Artificial Neural Network Syllabus for EE 6th Sem 2019-20 DBATU (Elective-VI)"},"content":{"rendered":"<p align=\"justify\">Artificial Neural Network detailed syllabus scheme for Electrical Engineering (EE), 2019-20 onwards has been taken from the <a href=\"https:\/\/dbatu.ac.in\/syllabus-and-course-structure-for-b-tech-programs\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">DBATU<\/a> official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below. <\/p>\n<p align=\"justify\">For 6th Sem Scheme of Electrical Engineering (EE), 2019-20 Onwards, do visit <a href=\"dbatu-syllabus-for-electrical-engineering-6th-sem-2019-20\">EE 6th Sem Scheme, 2019-20 Onwards<\/a>. For the Elective-VI scheme of 6th Sem 2019-20 onwards, refer to <a href=\"elective-vi-syllabus-scheme-for-electrical-engineering-6th-sem-2019-20-dbatu\">EE 6th Sem Elective-VI Scheme 2019-20 Onwards<\/a>. The detail syllabus for artificial neural network is as follows.<\/p>\n<h2 align=\"center\">Artificial Neural Network Syllabus for Electrical Engineering (EE) 3rd Year 6th Sem 2019-20 DBATU<\/h2>\n<p>  <title>Artificial neural network<\/title><\/p>\n<h4>Course Outcomes:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>UNIT 1<\/h4>\n<p>  Introduction and ANN Structure : Biological neurons and artificial neurons. Model of an ANN. Activation functions used in ANNs. Typical classes of network architectures. Mathematical Foundations and Learning mechanisms : Re-visiting vector and matrix algebra. State-space concepts. Concepts of optimization. Error-correction learning. Memory-based learning. Hebbian learning. Competitive learning. 8<\/p>\n<h4>UNIT 2<\/h4>\n<p>  Single layer perceptrons : Structure and learning of perceptrons. Pattern classifier -introduction and Bayes&#8217; classifiers. Perceptron as a pattern classifier. Perceptron convergence. Limitations of a perceptrons. 6<\/p>\n<h4>UNIT 3<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>UNIT 4<\/h4>\n<p>  Radial Basis Function Networks : Pattern separability and interpolation. Regularization Theory.Regularization and RBF networks.RBF network design and training. Approximation properties of RBF 6<\/p>\n<h4>UNIT 5<\/h4>\n<p>  Competitive Learning and Self organizing ANN : General clustering procedures. Learning Vector Quantization (LVQ). Competitive learning algorithms and architectures. Self organizing feature maps. Properties of feature maps. 6<\/p>\n<h4>UNIT 6<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Reference Books:<\/h4>\n<ol>\n<li>NPTEL course<\/li>\n<\/ol>\n<p align=\"justify\">For detail syllabus of all subjects of Electrical Engineering (EE) 6th Sem 2019-20 onwards, visit <a href=\"..\/category\/dbatu\/6th-sem-dbatu\">EE 6th Sem Subjects <\/a>of 2019-20 Onwards.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Neural Network detailed syllabus scheme for Electrical Engineering (EE), 2019-20 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject [&hellip;]<\/p>\n","protected":false},"author":2351,"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":[106],"tags":[],"class_list":["post-18569","post","type-post","status-publish","format-standard","hentry","category-ee-dbatu"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/18569","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/users\/2351"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/comments?post=18569"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/18569\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/media?parent=18569"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/categories?post=18569"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/tags?post=18569"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}