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7EE3 ARTIFICIAL INTELLIGENCE TECHNIQUES |
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Unit-1 |
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Artificial Intelligence: |
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Introduction to AI and knowledge based Expert systems: Introduction, |
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Importance and Definition of AI, ES, ES building tools and shells. |
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Unit-2 |
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Knowledge Representation: |
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Concept of knowledge, Representation of knowledge using |
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logics rules, frames. Procedural versus. Declarative knowledge, forward versus backward |
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chaining. Control Strategies: -Concept of heuristic search, search techniques depth first search, |
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Breath first search, Generate & test hill climbing, best first search. |
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Unit-3 |
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Artificial Neural Network: |
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Biological Neurons and synapses, characteristics Artificial Neural |
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Networks, types of activation functions. |
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Perceptions: |
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Perception representation, limitations |
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of perceptrons. Single layer and multiplayer perceptrons. Perceptron learning algorithms. |
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Unit-4 |
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Basic Concepts in Learning ANN: |
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Supervised learning, Back propagation algorithm, |
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unsupervised learning, Kohonen’s top field network & Algorithm. |
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Unit-5 |
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Fuzzy Logic: |
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Fuzzy logic concepts, Fuzzy relation and membership functions, |
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Defuzzufication, Fuzzy controllers Genetic algorithm: concepts, coding, reproduction, |
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crossover, mutation, scaling and fitness. |