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BP Neural Network Learning Algorithm Based on Differential Evolution

  • 2013-09-22
  • 485.02KB
  • Points it Requires : 2

 A computer network traffic prediction method based on improved differential evolution algorithm and BP neural network is proposed. The global optimization ability of differential evolution algorithm is used to quickly obtain the weights and thresholds of BP neural network; then the nonlinear fitting ability of BP neural network is used to obtain high-precision network traffic prediction results. Experimental results show that this method can obtain high-precision prediction results in a shorter time and has good application value.  

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