IMPROVED BP ALGORITHM FOR NEURAL NETWORK AND ITS APPLICATION ON SYNTHETIC INTEGRATION FOR METEOROLOGICAL FORECAST

Multilayer neural network based on BP algorithm is being applied in many fields, but in spite of BP algorithmic shortcomings of low convergence rate and proneness to yield to local minimum. Many analyses have revealed that the adjusted weights of various layers differed much, so a new algorithm of weight balance layer by layer was brought forward to calculate the weights’ influences on neural network. The results indicated the new algorithm converged faster than the standard BP algorithm. And a control system simulation using the new algorithm in Synthetic Integration for Meteorological Forecast is to be a good approach.