通过gdm、LM以及贝叶斯正则化，进行BP神将网络-By gdm, LM and Bayesian regularization, for God BP Network

In this paper three different methods such as GDM AGDM and modified PSO are adopted to optimize the neural networks, and simulate the DTC system with MATLAB/SIMULINK. The result shows: modified PSO algorithm can solve the problem of neural n

Back Propagation GDM algoritms for training