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《JOURNAL OF COMPUTER RESEARCH AND DEVELOPMENT》 2000-08
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IMMUNE MODULATED SYMBIONTIC EVOLUTION IN NEURAL NETWORK DESIGN

ZHANG Jun ①, LIU Ke Sheng ①, and WANG Xu Fa ② ①(Department of Electronic Science and Technology ,University of Science and Technology of China, Hefei 230026) ②(Department of Computer Science and Technology ,University of Science a  
With the combination of artificial neural network, genetic algorithm, and immune system theory, the immune modulated symbiontic evolution (IMSE) method in neural network design is proposed. By evolving a population of neurons instead of neural networks, great computation pressure is alleviated. At the same time by utilizing the adjustment of antibody chrome and the maintenance of individual diversity, immune modulation is used effectively in preventing premature convergence and promoting population diversity. This method is verified in a pattern discrimination learning task. The experimental result shows IMSE can be used to design robust and efficient neural network.
【Fund】: 国家自然科学基金项目!(项目编号 696710 2 9)
【CateGory Index】: TP18
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