Electronics and Telecommunication Engineering - Vishwakarma ...
Electronics and Telecommunication Engineering - Vishwakarma ... Electronics and Telecommunication Engineering - Vishwakarma ...
Bansilal Ramnath Agarwal Charitable Trust’s Vishwakarma Institute of Technology, Pune – 411 037 Department of Electronics and Telecommunication Engineering FF No.: 654 EC42110:: ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC Credits: 03 Teaching Scheme: - Theory 3 Hrs/Week Prerequisites: Nil Objectives: • To give overview of Neural network systems and standards across the globe. • To create awareness in the current trends and technologies in Neural networks • To learn different neural Networks. • Mapping with PEOs:2,3,4,6,7,8,9 Unit 1 Introduction to ANN :- (4Hrs) • History of Neural networks, Neural net architecture, Neural learning, Evaluation of networks, Implementation. • Application of neural networks. Unit 2 Supervised Learning (10Hrs) • Perceptions , Linear separability, preceptron training algorithms, modifications, Support vector machines, Multilevel discrimination, back propagation algorithm. Adaptive multilayer networks, predication networks, Polynomial Networks. • Radial basis functions, probabilistic networks. UNIT 3 Unsupervised Learning (8Hrs) • Winner-Takes –All network, Learning vector quantization, counter propagation networks, Adaptive Resonance theory, Topological Organized networks, Distance based learning, Max Net, Competitive Net. • Principal Component Analysis. UNIT 4 Associative Learning (10Hrs) • Associative non iterative procedures for association, Hop field networks, Optimization, Learning using Hopfield networks, Brain state in a box network. • Boltzman machines, Hetero-associators. UNIT 5 Evolutionary Optimization (8Hrs) • Optimization and search, Evolutionary Computation, Evolutionary Algorithms for training neural networks, Learning connection weights, Learning architectures. • Hybrid evolutionary Approaches. Structure & Syllabus of B.E (E&TC) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 76
Bansilal Ramnath Agarwal Charitable Trust’s Vishwakarma Institute of Technology, Pune – 411 037 Department of Electronics and Telecommunication Engineering Text books 1. Elements of Artificial Neural Networks - by Kishan Mehrotra, Chilukurik. Mohan, Sanjay Ranka Penram International Publishing (India) Pvt. Ltd. Second edition, Reference books 1. Neural Network and Fuzzy system by Bart Kosko, John c. Burgess. 2. Fundamental of Artificial Neural Networks. By M. H. Hassoun. 3. Introduction to Artificial Neural Network system by M.Zurada. Relevant IEEE Papers. Structure & Syllabus of B.E (E&TC) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 77
- Page 25 and 26: Bansilal Ramnath Agarwal Charitable
- Page 27 and 28: Bansilal Ramnath Agarwal Charitable
- Page 29 and 30: Bansilal Ramnath Agarwal Charitable
- Page 31 and 32: Bansilal Ramnath Agarwal Charitable
- Page 33 and 34: Bansilal Ramnath Agarwal Charitable
- Page 35 and 36: Bansilal Ramnath Agarwal Charitable
- Page 37 and 38: Bansilal Ramnath Agarwal Charitable
- Page 39 and 40: Bansilal Ramnath Agarwal Charitable
- Page 41 and 42: Bansilal Ramnath Agarwal Charitable
- Page 43 and 44: Bansilal Ramnath Agarwal Charitable
- Page 45 and 46: Bansilal Ramnath Agarwal Charitable
- Page 47 and 48: Bansilal Ramnath Agarwal Charitable
- Page 49 and 50: Bansilal Ramnath Agarwal Charitable
- Page 51 and 52: Bansilal Ramnath Agarwal Charitable
- Page 53 and 54: Bansilal Ramnath Agarwal Charitable
- Page 55 and 56: Bansilal Ramnath Agarwal Charitable
- Page 57 and 58: Bansilal Ramnath Agarwal Charitable
- Page 59 and 60: Bansilal Ramnath Agarwal Charitable
- Page 61 and 62: Bansilal Ramnath Agarwal Charitable
- Page 63 and 64: Bansilal Ramnath Agarwal Charitable
- Page 65 and 66: Bansilal Ramnath Agarwal Charitable
- Page 67 and 68: Bansilal Ramnath Agarwal Charitable
- Page 69 and 70: Bansilal Ramnath Agarwal Charitable
- Page 71 and 72: Bansilal Ramnath Agarwal Charitable
- Page 73 and 74: Bansilal Ramnath Agarwal Charitable
- Page 75: Bansilal Ramnath Agarwal Charitable
- Page 79 and 80: Bansilal Ramnath Agarwal Charitable
- Page 81 and 82: Bansilal Ramnath Agarwal Charitable
- Page 83 and 84: Bansilal Ramnath Agarwal Charitable
- Page 85 and 86: Bansilal Ramnath Agarwal Charitable
- Page 87 and 88: Bansilal Ramnath Agarwal Charitable
- Page 89 and 90: Bansilal Ramnath Agarwal Charitable
- Page 91 and 92: Bansilal Ramnath Agarwal Charitable
- Page 93 and 94: Bansilal Ramnath Agarwal Charitable
- Page 95 and 96: Bansilal Ramnath Agarwal Charitable
- Page 97 and 98: Bansilal Ramnath Agarwal Charitable
- Page 99 and 100: Bansilal Ramnath Agarwal Charitable
- Page 101 and 102: Bansilal Ramnath Agarwal Charitable
- Page 103 and 104: Bansilal Ramnath Agarwal Charitable
- Page 105 and 106: Bansilal Ramnath Agarwal Charitable
- Page 107 and 108: Bansilal Ramnath Agarwal Charitable
- Page 109 and 110: Bansilal Ramnath Agarwal Charitable
Bansilal Ramnath Agarwal Charitable Trust’s<br />
<strong>Vishwakarma</strong> Institute of Technology, Pune – 411 037<br />
Department of <strong>Electronics</strong> <strong>and</strong> <strong>Telecommunication</strong> <strong>Engineering</strong><br />
Text books<br />
1. Elements of Artificial Neural Networks - by Kishan Mehrotra, Chilukurik. Mohan,<br />
Sanjay Ranka Penram International Publishing (India) Pvt. Ltd. Second edition,<br />
Reference books<br />
1. Neural Network <strong>and</strong> Fuzzy system by Bart Kosko, John c. Burgess.<br />
2. Fundamental of Artificial Neural Networks. By M. H. Hassoun.<br />
3. Introduction to Artificial Neural Network system by M.Zurada.<br />
Relevant IEEE Papers.<br />
Structure & Syllabus of B.E (E&TC) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011<br />
77
Change language