Neural networks for pattern recognition
Neural networks for pattern recognition
Neural network design
Accelerating neural network training using weight extrapolations
Neural Networks
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
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The article presents of accelerating neural network learning by the Back Propagation algorithm and one of its fastest modifications --- the Levenberg---Marqurdt method. The learning is accelerated by introducing the `single-direction' coefficient of the change of x for calculating its new values (the number of iterations is decreased by approximately 30%). Simulation results of learning neural networks by applying both the classic method and the method of accelerating the procedure are presented.