NEURAL NETWORKS AND FUZZY LOGIC

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Biological neurons, signal propagation in biological neurons, model of a single artificial neuron, activation functions, feed forward and feedback neural networks, re-enforcement learning, self-organizing map, learning vector quantization. Boolean vs. fuzzy logic, fuzzy sets, fuzzy relations, fuzzification, de-fuzzification, inference engine, case studies.

Course Syllabus