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Comparison Of Particle Swarm Optimization And Backpropagation Algorithms For Training Feedforward Neural Network
2014
Journal of Mathematics and Computer Science
An interesting tool for non-linear multivariable modeling is the Artificial Neural Network (ANN) which has been developed recently. The use of ANN has been proved to be a cost-effective technique. It is very important to choose a suitable algorithm for training a neural network. Generally Backpropagation (BP) algorithm is used to train the neural network. While these algorithms prove to be very effective and robust in training many types of network structures, they suffer from certain
doi:10.22436/jmcs.012.02.03
fatcat:lbziih44trhmhhvaxwdue3q5ym