{"id":8394,"date":"2019-12-15T03:55:00","date_gmt":"2019-12-15T03:55:00","guid":{"rendered":"https:\/\/www.inspirenignite.com\/vtu\/artificial-neural-networks-telecom-6th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-2\/"},"modified":"2019-12-15T03:55:00","modified_gmt":"2019-12-15T03:55:00","slug":"artificial-neural-networks-telecom-6th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-2","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/vtu\/artificial-neural-networks-telecom-6th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-2\/","title":{"rendered":"Artificial Neural Networks Telecom 6th Sem Syllabus for VTU BE 2017 Scheme (Professional Elective-2)"},"content":{"rendered":"<p>Artificial Neural Networks detail syllabus for Telecommunication Engineering (Telecom), 2017 scheme is taken from <a href=\"https:\/\/vtu.ac.in\/b-e-scheme-syllabus\/\" target=\"_blank\" rel=\"noopener\">VTU<\/a> official website and presented for VTU students. The course code (17EC653), and for exam duration, Teaching Hr\/week, Practical Hr\/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.<\/p>\n<p>For all other telecom 6th sem syllabus for be 2017 scheme vtu you can visit <a href=\"..\/telecom-6th-sem-syllabus-for-be-2017-scheme-vtu\">Telecom 6th Sem syllabus for BE 2017 Scheme VTU Subjects<\/a>. For all other Professional Elective-2 subjects do refer to <a href=\"..\/professional-elective-2-telecom-6th-sem-syllabus-for-vtu-be-2017-scheme\">Professional Elective-2<\/a>. The detail syllabus for artificial neural networks is as follows.<\/p>\n<p><h4>Course Objectives:<\/h4>\n<p> The objectives of this course are:<\/p>\n<ul>\n<li>Understand the basics of ANN and comparison with Human brain<\/li>\n<li>Provide knowledge on Generalization and function approximation and various architectures of building an ANN<\/li>\n<li>Provide knowledge of reinforcement learning using neural networks<\/li>\n<li>Provide knowledge of unsupervised learning using neural networks.<\/li>\n<\/ul>\n<p><h4>Module 1<br \/>\nFor 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>Module 2<br \/>\n<\/h4>\n<p>Supervised Learning: Perceptron learning and Non Separable sets, a-Least Mean Square Learning, MSE Error surface, Steepest Descent Search, g-LMS approximate to gradient descent, Application of LMS to Noise Cancelling, Multi-layered Network Architecture, Backpropagation Learning Algorithm, Practical consideration of BP algorithm.\n<\/p>\n<p><h4>Module 3<br \/>\n<\/h4>\n<p>Support Vector Machines and Radial Basis Function: Learning from Examples, Statistical Learning Theory, Support Vector Machines, SVM application to Image Classification, Radial Basis Function Regularization theory, Generalized RBF Networks, Learning in RBFNs, RBF application to face recognition.\n<\/p>\n<p><h4>Module 4<br \/>\nFor 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>Module 5<br \/>\n<\/h4>\n<p>Self-organization Feature Map: Maximal Eigenvector Filtering, Extracting Principal Components, Generalized Learning Laws, Vector Quantization, Self-organization Feature Maps, Application of SOM, Growing Neural Gas.\n<\/p>\n<p><h4>Course Outcomes:<\/h4>\n<p> At the end of the course, students should be able to:<\/p>\n<ul>\n<li>Understand the role of neural networks in engineering, artificial intelligence, and cognitive modelling.<\/li>\n<li>Understand the concepts and techniques of neural networks through the study of the most important neural network models.<\/li>\n<li>Evaluate whether neural networks are appropriate to a particular application.<\/li>\n<\/ul>\n<p><h4>Text Books:<\/h4>\n<p>Neural Networks A Classroom Approach- Satish Kumar, McGraw Hill Education (India) Pvt. Ltd, Second Edition.\n<\/p>\n<p><h4>Reference Books:<\/h4>\n<ol>\n<li>Introduction to Artificial Neural Systems-J.M. Zurada, Jaico Publications 1994.<\/li>\n<li>Artificial Neural Networks-B. Yegnanarayana, PHI, New Delhi 1998.<\/li>\n<\/li>\n<\/ol>\n<p>For detail syllabus of all other subjects of BE Telecom, 2017 regulation do visit <a href=\"..\/category\/telecom+6th-sem\">Telecom 6th 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>Artificial Neural Networks detail syllabus for Telecommunication Engineering (Telecom), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17EC653), and for exam duration, [&hellip;]<\/p>\n","protected":false},"author":2298,"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":[47],"tags":[],"class_list":["post-8394","post","type-post","status-publish","format-standard","hentry","category-telecom"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts\/8394","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/users\/2298"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/comments?post=8394"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts\/8394\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/media?parent=8394"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/categories?post=8394"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/tags?post=8394"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}