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This course covers the fundamentals of intelligent systems with a focus on neural network approaches. Topics covered include: knowledge representation, applied expert systems, expert rules and inference, neural network concepts, neural network architectures, supervised learning and self-organization, hierarchical networks, multi-paradigm systems, analog and digital neural networks, fuzzy controllers, fuzzy rule sets, fuzzy inference, hybrid systems.
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