Multilayer feed-forward neural networks based on immune genetic algorithm

An optimizing method based on immune genetic algorithm was presented for designing multilayer feed-forward neural network. This algorithm could decide the structure of the multilayer feed-forward neural networks and search the proper weight of this network. The simulation experiments show that this algorithm has the better ability of convergent on whole solution space and the capacity of fast learning than genetic algorithm and momentum BP algorithm.