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