Anna University B.Tech PR (R13) 6th Sem Fuzzy Logic and ANN Detailed Syllabus

Fuzzy Logic and ANN Syllabus for B.Tech 6th sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.

The detailed syllabus for Fuzzy Logic and ANN B.Tech (R13) sixthsem is as follows

OBJECTIVES:

• To impact knowledge on fuzzy logic principles
• To understand models of ANN
• To use the fuzzy logic and neural network for application related to design and manufacture

UNIT I : INTRODUCTION TO FUZZY LOGIC PRINCIPLES      [9 Hours]
Basic concepts of fuzzy set theory – operations of fuzzy sets – properties of fuzzy sets – Crisp relations – Fuzzy relational equations – operations on fuzzy relations – fuzzy systems – propositional logic – Inference – Predicate Logic – Inference in predicate logic – fuzzy logic principles – fuzzy quantifiers – fuzzy inference – fuzzy rule based systems – fuzzification and defuzzification – types.

UNIT II : ADVANCED FUZZY LOGIC APPLICATIONS      [9 Hours]
Fuzzy logic controllers – principles – review of control systems theory – various industrial applications of FLC adaptive fuzzy systems – fuzzy decision making – Multiobjective decision making – fuzzy classification – means clustering – fuzzy pattern recognition – image processing applications – systactic recognition – fuzzy optimization.

UNIT III : INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS      [9 Hours]
Fundamentals of neural networks – model of an artificial neuron – neural network architectures – Learning methods – Taxonomy of Neural network architectures – Standard back propagation algorithms – selection of various parameters – variations Applications of back propagation algorithms.

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[TOTAL: 45 PERIODS]

OUTCOMES:

• Develop the skill in basic understanding on fuzzy and neural network
• Explore the functional components of neural classification conducer and the functional components of fuzzy logic classification on controller.
• Develop and implement a basic trainable neural network (or) a fuzzy logic system to design and manufacturing.

TEXT BOOKS:

• Rajasekaran. S.. Vijayalakshmi Pai. G.A. “Neural Networks, Fuzzy Logic and Genetic Algorithms”, Prentice Hall of India Private Limited, 2003
• Timothy J.Ross, “Fuzzy logic with Engineering Applications”, McGraw Hill, 1995
• Zurada J.M. “Introduction to Artificial Neural Systems”, Jaico publishing house, 1994.

REFERENCES:

• Klir.G, Yuan B.B. “Fuzzy sets and Fuzzy Logic Prentice Hall of India private limited, 1997.
• Laurance Fausett, “Fundamentals of Neural Networks”, Prentice hall, 1992
• Gen, M. and Cheng R. “Genetic Algorithm and Engineering Design”, john wiley 1997

For all other B.Tech PR 6th sem syllabus go to Anna University B.Tech PRODUCTION ENGINEERING (PR) 6th Sem Course Structure for (R13) Batch.All details and yearly new syllabus will be updated here time to time. Subscribe, like us on facebook and follow us on google plus for all updates.

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