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The course will teach a variety of contemporary approaches to neural networks and introduce the theory underlying these approaches. The approaches to be covered will include such things as biological and statistical foundations of neural networks, Perceptron, MLPs , SOMs, RBF, ART, PNN and competitive learning. Finally, we will discuss some aspects of using neural networks in Engineering problems.
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