Mathematicial model of neurons and nerual networks, learning of ANN,optimazation methods for error function, Backpropagation learning methods, Approximation theory of ANN and applications. Evolutionary algorithms and their convergence theorem.

CILO-1: Apply concepts of the classical ANN theory and learning. CILO-2: Apply concepts in the universal approximation property of ANN.2. CILO-3: Explain the key ideas of evolutionary algorithms.