Vishwakarma Institute of Technology B.E. (Electronics)
Vishwakarma Institute of Technology B.E. (Electronics)
Vishwakarma Institute of Technology B.E. (Electronics)
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BRACT’S<br />
<strong>Vishwakarma</strong> <strong>Institute</strong> <strong>of</strong> <strong>Technology</strong>, Pune – 411 037<br />
Department <strong>of</strong> <strong>Electronics</strong> Engineering<br />
FF No. : 654<br />
EC42207:: ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC<br />
Credits: 01<br />
Teaching Scheme: - - Tutorial 1 Hr/Week<br />
Objectives:<br />
To give overview <strong>of</strong> neural network systems and to built neural network systems.<br />
To create awareness in the current trends and technologies in Neural networks<br />
To learn different neural Networks.<br />
Mapping with PEO : 1,2,4,5,7,8,9<br />
To built and test following Neural Networks:<br />
1) Perceptron Neural Network.<br />
2) Hebbin Neural Network.<br />
3) Hamming Neural Network.<br />
4) Hanning Neural Network.<br />
5) McCulloach Pitts Neural Network.<br />
6) Back propagation Neural Network.<br />
7) Max Net Neural Network.<br />
8) Competitive Neural Network.<br />
9) Mini project.<br />
Text books<br />
1. Elements <strong>of</strong> Artificial Neural Networks - by Kishan Mehrotra, Chilukurik. Mohan,<br />
Sanjay Ranka Penram International Publishing (India) Pvt. Ltd. Second edition,<br />
2. Fuzzy Logic by John Yen,Reza Langari, Pearson Educations, First edition.<br />
Reference books<br />
1. Neural Network and Fuzzy system by Bart Kosko, John c. Burgess.<br />
2. Fundamental <strong>of</strong> Artificial Neural Networks. By M.H. Hassoun.<br />
3. Introduction to Artificial Neural Network system by M.Zurada.<br />
4. Relevant IEEE Papers.<br />
Structure & Syllabus <strong>of</strong> B.E (<strong>Electronics</strong>) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011<br />
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