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《Acta Electronica Sinica》 2008-11
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A New Method of BP Network Optimized Based on Particle Swarm Optimization and Simulation Test

LI Zuo-yong,WANG Jia-yang,GUO Chun (Chengdu University of Information Technology,Chengdu,Sichuan 610041,China)  
A new method to adjust weights of BP network was proposed based on particle swarm optimization.The new model was based on the weight adjustments of error back propagation of BP algorithm and the weight modification using particle swarm optimization(PSO).The model can not only overcome the limitations both the slow convergence and the local extreme values by basic BP algorithm,but also improve the learning ability and generalization ability with a higher precision.The new model was used in simulation test of four typical complex functions,results of which were analysed and compared with that of basic BP algorithm,BP network optimized based on genetic algorithm(GA-BP) and traditional BP network of signal forward propagation based on particle swarm optimization.Results show the performances of new PSO-BP model are superior to that of other 3 kinds of optimized BP network models,especially in generalization ability.
【Fund】: 国家自然科学基金(No.50679047 No.50779042)
【CateGory Index】: TP183
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