AI 5

My Table

Unit 5

S No. Course Content:
1 Introduction
2 Knowledge acquisition
3 Knowledge base
4 Working memory
5 Inference engine
6 Expert system shells
7 Explanation
8 Application of expert systems
9 Fundamentals of Neural Networks: Introduction and research history
10 Model of artificial neuron
11 Characteristics of neural networks
12 learning methods in neural networks
13 Single-layer neural network system
14 Applications of neural networks
15 Fundamentals of Genetic Algorithms: Introduction
16 Encoding, Operators of genetic algorithm
17 Basic genetic algorithm

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