Traditional learning algorithm of BP NN has problems of low convergent learning speed,low accuracy,local minimum slumping,and instability.This paper puts forward an advanced NN learning algorithm based on DFP method which is a classical Quasi-Newton Algorithm.It is super-linear convergent and global convergent in the optimization theory.But normal DFP method is unstable and easy to be invalidated when coming to large NN.When it comes to the Flat-Spots,normal DFP method would be ended in overflow error.This ...
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