CSE

CS723PE: Soft Computing CSE Syllabus for B.Tech 4th Year 1st Sem R18 Regulation JNTUH (Professional Elective-5)

Soft Computing detailed syllabus for Computer Science Engineering (CSE), R18 regulation has been taken from the JNTUHs official website and presented for the students of B.Tech Computer Science Engineering branch affiliated to JNTUH course structure. For Course Code, Course Titles, Theory Lectures, Tutorial, Practical/Drawing, Credits, and other information do visit full semester subjects post given below. The syllabus PDF files can also be downloaded from the universities official website.

For all the other CSE 4th Year 1st Sem Syllabus for B.Tech R18 Regulation JNTUH scheme, visit Computer Science Engineering 4th Year 1st Sem R18 Scheme.

For all the (Professional Elective-5) subjects refer to Professional Elective-5 Scheme. The detail syllabus for soft computing is as follows.

Course Objective:

  • Familiarize with soft computing concepts
  • Introduce and use the idea of fuzzy logic and use of heuristics based on human experience
  • Familiarize the Neuro-Fuzzy modeling using Classification and Clustering techniques
  • Learn the concepts of Genetic algorithm and its applications
  • Acquire the knowledge of Rough Sets.

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit – I

Introduction to Soft Computing: Evolutionary Computing, “Soft” computing versus “Hard” computing, Soft Computing Methods, Recent Trends in Soft Computing, Characteristics of Soft computing, Applications of Soft Computing Techniques.

Unit – II

Fuzzy Systems: Fuzzy Sets, Fuzzy Relations, Fuzzy Logic, Fuzzy Rule-Based Systems

Unit – III

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit – IV

Genetic Algorithms: Basic Concepts, Basic Operators for Genetic Algorithms, Crossover and Mutation Properties, Genetic Algorithm Cycle, Fitness Function, Applications of Genetic Algorithm.

Unit – V

Rough Sets, Rough Sets, Rule Induction, and Discernibility Matrix, Integration of Soft Computing Techniques.

Text Books:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Reference Books:

  1. S. N. Sivanandam and S. N. Deepa, �Principles of Soft Computing�, 2nd edition, Wiley India, 2008.
  2. David E. Goldberg, �Genetic Algorithms-In Search, optimization and Machine learning�, Pearson Education.
  3. J. S. R. Jang, C.T. Sun and E.Mizutani, �Neuro-Fuzzy and Soft Computing�, Pearson Education, 2004.
  4. G.J. Klir and B. Yuan, �Fuzzy Sets and Fuzzy Logic�, PHI, 1995.
  5. Melanie Mitchell, �An Introduction to Genetic Algorithm�, PHI, 1998.
  6. Timothy J. Ross, �Fuzzy Logic with Engineering Applications�, McGraw- Hill International editions, 1995

For detail syllabus of all other subjects of B.Tech Computer Science Engineering 4th Year 1st Sem , visit CSE 4th Year 1st Sem syllabus subjects.

For B.Tech Computer Science Engineering (CSE) 4th Year results, visit JNTUH B.Tech Computer Science Engineering semester results direct link.

Leave a Reply

Your email address will not be published. Required fields are marked *

*

This site uses Akismet to reduce spam. Learn how your comment data is processed.