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[12 ] KENN ED Y J , EBERHART R C. Swarm intelligence [ M ]. San Francisco : Morgan Kaufmann Publishers , 2001. [13 ]高海兵 ,高 亮 ,周 驰 ,等. 基于粒子群优化的神经网 络训练算法研究[J ]. 电子学报 , 2004 , 32 (9) : 1572 - 1574. GAO Haibing , GAO Liang , ZHOU Chi ,et al. Particle swarm optimization based algorithm for neural network learning[J ]. Acta Electronic Sinica ,2004 ,32 (9) ;1572 - 1574. [14 ]RUML HART D E , HIN TON G E , WILL IAMS R J. Learning representations by back propagating errors. Nature , 1986 , 323 (11) :456 - 466. [15 ] REED R. Pruning algorithms —a survey [J ]. IEEE Transactions on Neural Networks , 1993 (4) : 740 - 747. [16 ]J ACQU ES RIGET , J A KOB VESTERSTR. A Diversi2 ty2guided Particle Swarm Optimizer2the ARPSO [ A ]. Development and Practice of Artificial Intelligence Techniques[C]. Durban , South Africa , 1999 ,41 - 45. [ 17 ] KENNED Y J , SPEARS W. Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimode problem generator [ A ]. In Proceedings of IEEE International Conference on Evolutionary Computation [ C]. Anchor2 age , Alaska , USA , 1998. [18 ]马永开 , 唐小我 , 杨桂元. 非负权重最优组合预测方法 的基本理论研究[J ]. 运筹与管理 , 1997 , 6 (2) : 1 - 8. MA Yongkai , TAN G Xiaowo. YAN G Guiyuan. A study on basic theory of the optimal combinated predic2 tion method of non negative weights[J ]. Operations Re2 search and Management Science , 1997 ,6 (2) :1 - 8. [19 ]马振华. 运筹学与最优化理论[ M ]. 北京 :清华大学出 版社 ,1998. [20 ] VAU TARD. SSA : a toolkit for noisy chaotic signals [J ]. Physica D , 1992 , 58 : 95 - 126. [21 ]魏凤英 , 曹鸿兴. 长期预测的数学模型及应用[ M ]. 北 京 :气象出版社 , 1990. [22 ]王惠文. 偏最小二乘回归方法及其应用[ M ]. 北京 :国 防工业出版社 ,1999. [23 ]金 龙. 神经网络气象预报建模理论方法与应用[ M ]. 北京 : 气象出版社 , 2004. 作者简介 : 吴建生 ,男 ,1974 年生 ,硕士 ,讲师 , 主要研究方向为神经网络应用及智能优 化算法研究. E2mail : wjsh2002168 @163. com. 第 2 期 吴建生 :基于粒子群算法的神经网络短期降水预报建模研究 · 37 · © 1994-2008 China Academic Journal Electronic Publishing House. All rights reserved. http://www.cnki.net