{"id":5772,"date":"2020-02-08T07:46:39","date_gmt":"2020-02-08T07:46:39","guid":{"rendered":"https:\/\/www.inspirenignite.com\/up\/artificial-neural-network-ie-5th-sem-syllabus-for-aktu-b-tech-2019-20-scheme-departmental-elective-i\/"},"modified":"2020-02-08T07:46:39","modified_gmt":"2020-02-08T07:46:39","slug":"artificial-neural-network-ie-5th-sem-syllabus-for-aktu-b-tech-2019-20-scheme-departmental-elective-i","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/up\/artificial-neural-network-ie-5th-sem-syllabus-for-aktu-b-tech-2019-20-scheme-departmental-elective-i\/","title":{"rendered":"Artificial Neural Network IE 5th Sem Syllabus for AKTU B.Tech 2019-20 Scheme (Departmental Elective-I)"},"content":{"rendered":"

Artificial Neural Network detail syllabus for Instrumentation Engineering (IE), 2019-20 scheme is taken from AKTU<\/a> official website and presented for AKTU students. The course code (REC054), and for exam duration, Teaching Hr\/Week, Practical Hr\/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.<\/p>\n

For all other ie 5th sem syllabus for b.tech 2019-20 scheme aktu you can visit IE 5th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects<\/a>. For all other Departmental Elective-I subjects do refer to Departmental Elective-I<\/a>. The detail syllabus for artificial neural network is as follows.<\/p>\n

Unit I<\/h4>\n

For the complete syllabus, results, class timetable and more kindly download iStudy<\/a>. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.<\/b><\/p>\n

Unit II<\/h4>\n

Back propagation networks : (BPN) Architecture of feed forward network, single layer ANN, multilayer perceptron, back propagation learning, input – hidden and output layer computation, back propagation algorithm, applications, selection of tuning parameters in BPN, Numbers of hidden nodes, learning. 8\n<\/p>\n

Unit III<\/h4>\n

Activation & Synaptic Dynamics : Introduction, Activation Dynamics models, synaptic Dynamics models, stability and convergence, recall in neural networks. Basic functional units of ANN for pattern recognition tasks: Basic feed forward, Basic feedback and basic competitive learning neural network. Pattern association, pattern classification and pattern mapping tasks. 8\n<\/p>\n

Unit IV<\/h4>\n

For the complete syllabus, results, class timetable and more kindly download iStudy<\/a>. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.<\/b><\/p>\n

Unit V<\/h4>\n

Competitive learning neural networks : Components of CL network pattern clustering and feature. Mapping network, ART networks, Features of ART models, character recognition using ART network. Applications of ANN: Pattern classification – Recognition of Olympic games symbols, Recognition of printed Characters. Neocognitron -Recognition of handwritten characters. NET Talk: to convert English text to speech. Recognition of consonant vowel (CV) segments, texture classification and segmentation. 8\n<\/p>\n

Reference Books:<\/h4>\n
    \n
  1. S. Raj Sekaran , Vijayalakshmi Pari,” Neural networks, Fuzzy logic and Genetic Algorithms”, PHI Publication.<\/li>\n
  2. Elaine Rich and Kevin Knight, “Artificial Intelligence”, TMH Publication.<\/li>\n
  3. Rajiv Chopra, Machine Learning, Khanna Publishing House.<\/li>\n
  4. B. Yegnanarayana, “Artificial neural Networks”, PHI Publication.<\/li>\n<\/li>\n<\/ol>\n

    For detail syllabus of all other subjects of B.Tech Ie, 2019-20 regulation do visit Ie 5th Sem syllabus for 2019-20 Regulation<\/a>.<\/p>\n

    Don’t forget to download iStudy<\/a> for the latest syllabus, results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Artificial Neural Network detail syllabus for Instrumentation Engineering (IE), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (REC054), and for exam duration, […]<\/p>\n","protected":false},"author":2300,"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":[58],"tags":[],"class_list":["post-5772","post","type-post","status-publish","format-standard","hentry","category-ie"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts\/5772","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/users\/2300"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/comments?post=5772"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts\/5772\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/media?parent=5772"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/categories?post=5772"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/tags?post=5772"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}