Soft Computing detailed syllabus for Computer Science & Engineering (CSE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CSE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Computer Science & Engineering 6th Sem scheme and its subjects, do visit CSE 6th Sem 2021 regulation scheme. For Professional Elective-VII scheme and its subjects refer to CSE Professional Elective-VII syllabus scheme. The detailed syllabus of soft computing is as follows.
Course Objectives:
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Unit I
INTRODUCTION TO SOFT COMPUTING AND FUZZY LOGIC 6 Introduction – Fuzzy Logic – Fuzzy Sets, Fuzzy Membership Functions, Operations on Fuzzy Sets, Fuzzy Relations, Operations on Fuzzy Relations, Fuzzy Rules and Fuzzy Reasoning, Fuzzy Inference Systems
Unit II
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Unit III
GENETIC ALGORITHMS 6 Chromosome Encoding Schemes -Population initialization and selection methods – Evaluation function – Genetic operators- Cross over – Mutation – Fitness Function – Maximizing function
Unit IV
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Unit V
APPLICATIONS 6 Modeling a two input sine function – Printed Character Recognition – Fuzzy filtered neural networks – Plasma Spectrum Analysis – Hand written neural recognition – Soft Computing for Color Recipe Prediction.
Course Outcomes:
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Practical Exercises
- Implementation of fuzzy control/ inference system
- Programming exercise on classification with a discrete perceptron
- Implementation of XOR with backpropagation algorithm
- Implementation of self organizing maps for a specific application
- Programming exercises on maximizing a function using Genetic algorithm
- Implementation of two input sine function
- Implementation of three input non linear function
Text Books:
- SaJANG, J.-S. R., SUN, C.-T., & MIZUTANI, E. (1997). Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence. Upper Saddle River, NJ, Prentice Hall,1997
- Himanshu Singh, Yunis Ahmad Lone, Deep Neuro-Fuzzy Systems with Python
- With Case Studies and Applications from the Industry, Apress, 2020
Reference Books:
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For detailed syllabus of all the other subjects of Computer Science & Engineering 6th Sem, visit CSE 6th Sem subject syllabuses for 2021 regulation.
For all Computer Science & Engineering results, visit Anna University CSE all semester results direct link.