Simulation Analysis on Feedback Model of Physical Optimization Based on Artificial Neural Network

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Abstract:

Based on the theory model analysis of artificial neural network structure, the use of analog circuits builds the continuous artificial neural network feedback model, to carry on optimal error analysis for the different network work model, and then using the steepest gradient descent algorithm carries out error correction, to analyze the volleyball player's empirical analysis in the physical optimization distribution experiment. The simulation results show that the statistical results model simulation experiment and actual experiment data are basic agreement, to a certain extent provide a new practical path for artificial neural network.

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2369-2373

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February 2014

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