A Novel Evolutionary Feedforward Neural Network with Artificial Immunology

摘要

A hybrid algorithm to design the multi-layer feedforward neural network was proposed. Evolutionaryprogramming is used to design the network that makes the training process tending to global optima. Artificial im-munology combined with simulated annealing algorithm is used to specify the initial weight vectors, therefore improves the probabiligy of training algorithm to converge to global optima. The applications of the neural networkin the modulation-style recognition of analog modulated rader signals demonstrate the good performance of the net-work.