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SYLLABUS

Unit-I

Introduction to Artificial Intelligence Introduction and Motivation – Approaches to AI – Architectures of AI – Symbolic Reasoning System – Rule Based Systems – Knowledge Representation – Expert Systems.

Unit-II

Artificial Neural Networks Basics of ANN – Comparison between Artificial and Biological Neural Networks – Basic Building Blocks of ANN – Artificial Neural Network Terminologies – McCulloch Pitts Neuron Model – Learning Rules – ADALINE and MADALINE Models – Perceptron Networks – Back Propagation Neural Networks – Associative Memories.

Unit-III

ANN Applications to Electrical Systems ANN Approach to Electrical Load Forecasting Problem – System Identification – Control Systems – Pattern Recognition.

Unit-IV

Fuzzy Logic Classical Sets – Fuzzy Sets – Fuzzy Properties and Operations – Fuzzy Logic System – Fuzzification – Defuzzification – Membership Functions – Fuzzy Rule Base – Fuzzy Logic Controller Design.

Unit-V

Fuzzy Logic Applications to Electrical Systems Fuzzy Logic Implementation for Induction Motor Control – Switched Reluctance Motor Control – Fuzzy Excitation Control Systems in Automatic Voltage Regulator – Fuzzy Logic Controller in an 18 Bus Bar System.