| A Novel Evolutionary Feedforward Neural Network with Artificial Immunology |
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| 作者姓名： | 宫新保 臧小刚 周希朗 |
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| 作者单位： | Dept.ofElectronicEng.,ShanghaiJiaotongUniv.,Shanghai200030,China |
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| 摘 要： | 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 im-munology combined with simulated annealing algorithm is used to specify the initial weight vectors, therefore im-proves 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.
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| 关 键 词： | 前馈神经网络 人工智能 人工免疫学 进化算法 |
A Novel Evolutionary Feedforward Neural Network with Artificial Immunology |
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| GONG Xin bao ,ZANG Xiao gang,ZHOU Xi lang.A Novel Evolutionary Feedforward Neural Network with Artificial Immunology[J].Journal of Shanghai Jiaotong university,2003,8(1):40-42. |
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| Authors: | GONG Xin bao ZANG Xiao gang ZHOU Xi lang |
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| Institution: | Dept. of Electronic Eng., Shanghai Jiaotong Univ., Shanghai 200030, China |
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| Abstract: | 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. |
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| Keywords: | feedforward neural networks evolutionary programming artificial immunology |
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