Implement of Conjugate Gradient BP Algorithm in Matlab 7.0

The optimized solution method of BP neural network is estabished by neural network toolbox in Matlab 7.0,using the conjugate gradient method carry on the optimized computation to the network weight and the threshold value,the network weight and threshold value′s rapid calculation are realized,the essential condition is provided for analysing neural network′s reasonable structure.BP neural network′s tradition gradient descent law and the conjugate gradient algorithm are simulated.Through the algorithm training speed,aspects and fault-tolerant pan ability,superiority of conjugate gradient algorithm is verified,the simulation result highlights the improvement of training speed,especially after training the network suffers injury in situation pan-ability,the linear regression method is used to carry on the simulation confirmation,satisfaction result is obtained,the conjugate gradient BP algorithm is supported from the new angle.