Soft Computing
Soft Computing (SC)
Course Materials [ PPTs/PDFs/Handouts ]
Ch00 [02] Prerequisite [ PDF ]
Ch01 [06] Fuzzy Set Theory [ PDF ]
Ch02 [06] Fuzzy Rules, Reasoning, and Inference System
Ch03 [09] Neural Network-I [ PDF ] [ PDF ]
Hebb Net Example Mar 2021 [ PDF ]
Ch04 [10] Neural Network-II [ PDF ]
Ch05 [10] Genetic Algorithms [ PDF ]
Ch06 [09] Hybrid Computing
Learning Soft Computing [ PDFs ]
Unit I
Introduction [ PDF ]
Unit II
Unit III
Unit IV
Module Wise Question Bank
Advanced Soft Computing Chapter wise Questions - Updated on May 2022 [ For Syllabus ]
Theory Questions [ Google Spreadsheet]
MCQs [ Google Spreadsheet]
SC Question Bank - Updated on July 2021
Theory Questions [ Google Spreadsheet ]
OLD Question Papers
Lab Session
Google Colab
Image classification Using Deep Learning: Flower classification [Lab123_Flower_classification.ipynb]
Lab 1: Initial configuration steps of Google colab and importing Tensorflow and other libraries
Lab 2: Download and explore the dataset and Visualize the data
Lab 3: Create the model and visualized training results and predict on new data.
Fuzzy Inference System [ Lab45_fis.ipynb ]
Virtual Lab
Soft Computing Tools in Engineering Lab [click here]
Books
S. N. Sivanandan and S.N. Deepa, Principles of Soft Computing, Wiley India, 2007, ISBN: 10: 81-265-1075-7.
J.S.R. Jang, C. T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing, A Computational Approach to Learning and Machine Intelligence, PHI Learning Private Limited-2014
Neural Networks: A Classroom Approach, Satish Kumar, Tata McGraw-Hill Education, 2004/2007
Simon Haykin, Neural Networks A Comprehensive Foundation, Second Edition, Pearson Education-2004
David E. Goldberg, Genetic Algorithms, in search, optimization and Machine Learning, Pearson
References
Anupam Shukla, Ritu Tiwari, Rahul Kala, Real Life Applications of Soft Computing, CRC Press, Taylor & Francis Group, 2010.
Genetic Algorithms and Genetic Programming Modern Concepts and Practical Applications © 2009 Michael Affenzeller, Stephan Winkler, Stefan Wagner, and Andreas Beham, CRC Press
Laurene V. Fausett, Fundamentals of Neural Networks: Architectures, Algorithms And Applications, Pearson