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Different algorithms have been used for training neural networks (NNs) such as back propagation (BP), gradient descent (GA), partial swarm optimization (PSO), and ant colony algorithm (ACO). Most of these algorithms focused on NNs weight values, activation functions, and network structures for providing optimal outputs. Ordinary BP is one well known technique which updates the weight values for minimizing...
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