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A Novel Evolutionary Feedforward Neural Network with Artificial Immunology
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作者 宫新保 臧小刚 周希朗 《Journal of Shanghai Jiaotong university(Science)》 EI 2003年第1期40-42,共3页
A hybrid algorithm to design the multi layer feedforward neural network was proposed. Evolutionary programming is used to design the network that makes the training process tending to global optima. Artificial immunol... A hybrid algorithm to design the multi layer feedforward neural network was proposed. Evolutionary programming is used to design the network that makes the training process tending to global optima. Artificial immunology 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 network in the modulation style recognition of analog modulated rader signals demonstrate the good performance of the network. 展开更多
关键词 feedforward neural networks evolutionary programming artificial immunology
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