sc JNTUH B.TECH R18 4-1 Syllabus For Soft computing PDF 2022 – Cynohub


JNTUH B.TECH R18 4-1 Syllabus For Soft computing PDF 2022


JNTUH B.TECH R18 4-1 Syllabus For Soft computing PDF 2022

Get Complete Lecture Notes for Soft computing on Cynohub APP

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You will be able to find information about Soft computing along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding Soft computing after reading this blog. Soft computing has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. Soft computing can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.

All of the Topic and subtopics related to Soft computing are mentioned below in detail. If you are having a hard time understanding Soft computing or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.

Soft computing Unit One


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.

Soft computing Unit Two


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

Get Complete Lecture Notes for Soft computing on Cynohub APP

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Soft computing Unit Three


Fuzzy Decision Making, Particle Swarm Optimization

Soft computing Unit Four


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

Soft computing Unit Five


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

Soft computing Course Objectives

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.

Soft computing Course Outcomes

On completion of this course, the students will be able to:
Identify the difference between Conventional Artificial Intelligence to Computational Intelligence.
Understand fuzzy logic and reasoning to handle and solve engineering problems
Apply the Classification and clustering techniques on various applications.
Understand the advanced neural networks and its applications
Perform various operations of genetic algorithms, Rough Sets.
Comprehend various techniques to build model for various applications

Soft computing Text Books

1. Soft Computing – Advances and Applications – Jan 2015 by B.K. Tripathy and J. Anuradha – Cengage Learning

Soft computing Reference Books

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

Scoring Marks in Soft computing

Scoring a really good grade in Soft computing is a difficult task indeed and CynoHub is here to help!. Please watch the video below and find out how to get 1st rank in your examinations . This video will also inform students on how to score high grades in Soft computing. There are a lot of reasons for getting a bad score in your Soft computing exam and this video will help you rectify your mistakes and help you improve your grades.

Information about JNTUH B.Tech R18 Soft computing was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.

Get Complete Lecture Notes for Soft computing on Cynohub APP

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