#1
July 6th, 2016, 12:19 PM
| |||
| |||
Soft Computing Notes Pune University
I want the notes/ syllabus of Soft Computing of B.E. (Electronics & Telecommunications) of Pune University so can you provide me? As you want the syllabus of Soft Computing of B.E. (Electronics & Telecommunications) of Pune University so here I am providing you. Pune University B.E. (Electronics & Telecommunications) syllabus Soft Computing- Teaching Scheme Lectures/Week: 4Hrs Practical/Week: 2Hrs Examination Scheme Paper: 100 Marks. Practical: 50 Marks Term work: 25 Marks Unit 1: Introduction to Neuro-Fuzzy and soft computing Introduction, Soft computing constituents and conventional artificial intelligence, from conventional AI to computational intelligence, neural networks, Fuzzy set theory, Evolutionary computation, Neuro-Fuzzy and Soft Computing Characteristics Unit 2: Fuzzy Set Theory Fuzzy logic, Fuzzy sets, Fuzzy set operations, Fuzzy rules, Fuzzy algorithms, the fuzzy algorithm with linear constituents, determining the fuzzy algorithm Unit 3: Fuzzy Control Systematic approach for the design of fuzzy control system, Synthesis and validation of a fuzzy controller, determining the control laws, determining the fuzzy controller, validating the fuzzy controller Unit 4: Artificial Neural Network Artificial neural network theory, Topologies, Multilayer perceptron, unsupervising neural network, Radial basis function, Learning algorithm, Numerical Examples regarding MLP’s and RBF. Unit 5: Neural Network Application Neural network applications for identifying non-linear dynamic system and for complex system control, Image processing, and communication. Unit 6: Neuro Fuzzy Modelling Introduction, ANFIS architecture, Hybrid learning algorithm Learning methods that cross-fertilize ANFIS and RBFN, Use of ANN for process control. 33 Text Books: 1. J.S. Jang, C.T. Sun, E. Mizutani, “Neuro-Fuzzy and Soft Computing”, PHI Learning Private Limited. 2. L-Fortuna, G. Rizzotto, M. Lavorgna, G. Nunnari, M. G. Xibilia and R.Caponetto , “Soft Computing”, Springer. Reference Books: 1. James A. Freeman, David M. Skapura, “Neural Networks Algorithms, Applications and Programming Techniques”, Pearson Education. 2. S. N. Sivanandam, S. N. Deepa,” Principals of soft Computing”, Wiley India. List of practicals 1. Design and implement ANN to compute OR, AND, NOT gate for the two input using MP model . 2. Implement perceptron algorithm for solving EX-OR problem. 3. Implement Back Propogation algorithm to solve classification problem 4. Implementation of various learning learning laws 5. Implement Kohonen algorithm for character recognition 6. Implement various membership functions 7. Implement primary and composite linguistic fuzzy variables 8. Implementation of defuzzification using various method 9. Implement fuzzy controller to control simple process (Mamdani / Sugeno / Tsukamoto) 34 Contact- Savitribai Phule Pune University Pune University Rd Ganeshkhind Pune, Maharashtra 411007 Last edited by Neelurk; May 7th, 2020 at 03:49 PM. |