JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Prerequisite

Artificial Intelligence Techniques in Electrical Engineering

Course Objectives:

• To understand fuzzy logic, Artificial Neural Networks
• To understanding Genetic Algorithms & Evolutionary Programming

Course Outcomes

After completion of the course, students will be able to:

• Learn the concepts of biological foundations of artificial neural networks
• Learn Feedback networks and radial basis function networks and fuzzy logics
• Identify fuzzy and neural network
• Acquire the knowledge of Genetic Algorithms

UNIT - I

Biological foundations to intelligent Systems, Artificial Neural Networks, Single layer and Multilayer Feed Forward NN, LMS and Back Propagation Algorithm, Feedback networks and Radial Basis Function Networks.

UNIT - II

Fuzzy Logic, Knowledge Representation and Inference Mechanism, Defuzzification Methods. Fuzzy Neural Networks and their learning methods.

UNIT - III

System Identification using Fuzzy and Neural Network.

UNIT - IV

Genetic algorithm, Reproduction cross over, Mutation, Introduction to evolutionary program.

UNIT - V

Applications of above-mentioned techniques to practical problems.

TEXTBOOKS:

• 1. J M Zurada , “An Introduction to ANN”, Jaico Publishing House.
• 2. Simon Haykins, “Neural Networks”, Prentice Hall.

REFERENCES:

• 1. Timothy Ross, “Fuzzy Logic with Engg.Applications”, McGraw Hill.
• 2. Driankov, Dimitra, “An Introduction to Fuzzy Control”, Narosa Publication.
• 3. Golding, “Genetic Algorithms”, Addison-Wesley Publishing Com. M. Tech – II Semester L T P C 3 0 0 3