2023 2024 EduVark > Education Discussion > General Discussion


  #1  
July 6th, 2016, 12:19 PM
Super Moderator
 
Join Date: Mar 2013
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.
Similar Threads
Thread
Soft Computing Question Paper Pune University
Center for Soft Computing Research Indian Statistical Institute
Mobile Computing Notes Mumbai University
Mobile Computing Question Papers Pune University
M Plus Soft Pune
PM SOFT Pune
Soft Computing Lab Manual RGPV
E Soft Pune
Soft Computing Pune University Papers
Synergy Soft Pune
Soft SNDT Pune
Soft computing syllabus Pune University
Q-Soft Pvt.Ltd Pune
University of Pune Scientific Computing
Anna University Mobile Computing Notes



Quick Reply
Your Username: Click here to log in

Message:
Options



All times are GMT +5. The time now is 04:05 AM.


Powered by vBulletin® Version 3.8.11
Copyright ©2000 - 2024, vBulletin Solutions Inc.
Content Relevant URLs by vBSEO 3.6.0

1 2 3 4 5 6 7 8