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《Proceedings of the Csee》 2002-09
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LIU Zhi-yuan1,2,LU Jian-hong1,CHEN Lai-jiu1 (1. Department of Power Engineering,Southeast University,Nanjing 210096,China; 2.Nanjing Institute of Technology, Nanjing 210013, China)  
A novel RBF neural network model based on immune principles is presented in this paper. The memory, learning and self-organization abilities of artificial immune system are introduced to the selecting of the number and positions of hidden layer RBF centers, the output layer weights are decided with the recursive least squares algorithm. The nonlinear model of thermal processes is estabilished with the novel RBF neural network, simulation study proves that the method has less calculation, high precision and good generalization ability.
【Fund】: 国家自然科学基金项目(50076008);; 江苏省青年科技基金项目(BQ2000002)。~~
【CateGory Index】: TP183;TP15
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