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As the shortcomings of BP neural network slow convergence rate, falling into local minimum easily and difficult to determine the number of hidden nodes accurately, the number of hidden nodes, weights and threshold of BP neural network were optimized, using binary and real number hybrid coding based on genetic algorithms with global searching ability. Finally, the method tested with WD615 diesel engine...
The principle of position sensorless control for brushless DC Motors (BLDCM) is analyzed in this paper, and a new control method for BLDCM which is based on radial basis function(RBF) neural network optimized by Fast Recursive Algorithm, is proposed due to perfect nonlinear mapping characteristic of neural network. Using FRA, the proposed method can determine the numbers and locations of the centers,...
For the problem of local minimum for gradient descent method used to train an RBF (radial basis function) neural network, EP (evolutionary programming) is introduced to the training of RBF neural network in this paper. The combination method of EP and gradient descent method can effectively avoid local minimum, and provides a more reasonable network design. The effectiveness of the proposed scheme...
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