Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《热带气象学报(英文版)》 2009-01
Add to Favorite Get Latest Update

STUDY ON THE METEOROLOGICAL PREDICTION MODEL USING THE LEARNING ALGORITHM OF NEURAL ENSEMBLE BASED ON PSO ALGORITHMS

WU Jian-sheng 1, JIN Long 2 (1. Department of Mathematic and Computer Sciences, Liuzhou Teachers College, Liuzhou 545004 China; 2. Guangxi Research Institute of Meteorological Disasters Mitigation, Naning 530022 China)  
Because of the difficulty in deciding on the structure of BP neural network in operational meteorological application and the tendency for the network to transform to an issue of local solution, a hybrid Particle Swarm Optimization Algorithm based on Artificial Neural Network (PSO-BP) model is proposed for monthly mean rainfall of the whole area of Guangxi. It combines Particle Swarm Optimization (PSO) with BP, that is, the number of hidden nodes and connection weights are optimized by the implementation of PSO operation. The method produces a better network architecture and initial connection weights, trains the traditional backward propagation again by training samples. The ensemble strategy is carried out for the linear programming to calculate the best weights based on the "east sum of the error absolute value" as the optimal rule. The weighted coefficient of each ensemble individual is obtained. The results show that the method can effectively improve learning and generalization ability of the neural network.
【Fund】: Natural Science Foundation of Guangxi (0832019Z);; Natural Science Foundation of China (40675023)
【CateGory Index】: P456.7
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 5 Hits
1 ZHOU Zhi Hua CHEN Shi Fu (National Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093);Neural Network Ensemble[J];Chinese Journal of Computers;2002-01
2 Jin Long(Guangxi Research Institute of Meteorological Disasters Mitigation, N anning 530022)Kuang Xueyuan(Guangxi Center of Climate, Nanning 530022)Wang Haihong(Guangxi Research Institute of Meteorological Disasters Mitigation, N anning 530022)Qin Zhinian(Guangxi Center of Climate, Nanning 530022)Wang Yehong(Nanjing Institute of Meteorology, Nanjing 210044);STUDY ON THE OVERFITTING OF THE ARTIFICIAL NEURAL NETWORK FOR ECASTING MODEL[J];Acta Meteorologica Sinica;2004-01
3 HU Jiang-lin, TU Song-bai, FEN Guang-liu ( NWP Center, Chinese Academy of Meteorological Sciences, Beijing 100081, China; Wuhan Heavy Rain Institute, Wuhan 430074, China);A EXPLORATION OF HEAVY RAIN FORECASTING TECHNIQUE BASED ON ARTIFICIAL NEURAL NETWORKS[J];Journal of Tropical Meteorology;2003-04
4 WU Jiang-sheng1,JIG Long2,WANG Ling-zhi1(1.Department of Mathematics and Computer,Liuzhou Teacher College,Liuzhou 545004,China;2.Guangxi Research Institute of Meteorological Disasters Mitigation,Nanning 530022,China);THE BACK-PROPAGATION NEURAL NETWORK METEOROLOGICAL FORECAST MODEL RESEARCH EVOLVED AND DESIGNED BY GENETIC ALGORITHMS[J];Journal of Tropical Meteorology;2006-04
5 HE Hui1,JIN Long2,QIN Zhi-nian1,YUAN Li-jun3(1.Guangxi Climate Center,Nanning 530022,China;2.Guangxi Research Institute of Meteorological Disasters Mitigation,Nanning 530022,China;3.Guangxi Meteorological Science and Technology Information Center,Nanning 530022,China);DOWNSCALING FORECAST FOR THE MONTHLY PRECIPITATION OVER GUANGXI BASED ON THE BP NEURAL NETWORK MODEL[J];Journal of Tropical Meteorology;2007-01
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 LI Qian-mu~(1,2),XU Man-wu~1,ZHANG Hong~2,LIU Feng-yu~2(1.State Key Laboratory of Computer Software and New Technology,Nanjing University,Nanjing 210093,Jiangsu,China;2.School of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094,Jiangsu,China);A New Algorithm of Net Layer Trouble-shooting—RRBFNN[J];Acta Armamentarii;2006-03
2 ZHUO Li-Xia,TIAN Jia(School of Business Administration,Chongqing Institute of Technology,Chongqing 400050,China);On C4.5-Based Integration Method[J];Journal of Chongqing Institute of Technology;2006-11
3 NIU Da-peng1,2,WANG Fu-li1,2,HE Da-kuo2,JIA Ming-xing2(1.Key Laboratory of Integrated Automation of Process Industry,Ministry of Education,Northeastern University,Shenyang 110004,China;2.School of Information Science & Engineering,Northeastern University,Shenyang 110004,China.);Nosiheptide Fermentation Process Modeling Based on Elman Neural Network Ensemble[J];Journal of Northeastern University(Natural Science);2009-06
4 YAN Yu-wu(The Missile Institute,Air Force Engineering University,Shaanxi Sanyuan 713800,China);Target Recognize with Distributed Multi-sensor Based on Neural Network Ensemble[J];Journal of Projectiles,Rockets,Missiles and Guidance;2007-03
5 CHEN Wen-yu 1, LIU Jing-bo 1,2, and SUN Shi-xin1 (1. School of Computer Science and Engineering, University of Electronic Science and Technology of China Chengdu 610054; 2. School of Mathematics and Computer Science, Chongqing Three Gorges University Wanzhou Chongqing 404000);Method for Neural Network Ensemble Based on Analytical Hierarchy Process[J];Journal of University of Electronic Science and Technology of China;2008-03
6 LI Hong-xia, XU Shi-guo, FAN Chui-ren ( School of Civil and Hydraul. Eng., Dalian Univ. of Technol., Dalian 116024, China; Changchun Natural Calamity Forecast and Res. Serv. Cent., Changchun 130022, China );Long-term prediction of runoff based on Bayesian regulation neural network[J];Journal of Dalian University of Technology;2006-S1
7 MA Shuai-Ying(Modern Educational Technology Center,Dalian Nationalities University,Dalian Liaoning 116605;China);Texture Image Classification Based on Gray Level Co-occurrence Matrix and BP Neural Network Ensemble[J];Journal of Dalian Nationalities University;2009-03
8 Zhang Zhengdao 1, 2 Hu Shousong1 (1College of Automation Engineering, Nanjing University of Aeronautics and As tronautics, Nanjing 210016, China) (2Research Center of Control Science and Control Engineering, Southern Yangtze University, Wuxi 214036, China);Neural network immune ensemble based fault prediction for nonlinear time series[J];Journal of Southeast University (Natural Science Edition);2004-S1
9 CAI Miao,YANG Dao-guo,ZHONG Li-jun,YI Fu-xi(College of Mech and Electrical Engineering,Guilin University of Electronic Technology,Guilin 541004,Guangxi Zhuangzu Zizhiqu,China);Prediction of fatigue life of packaging EMC material based on BP neural networks[J];Electronic Components and Materials;2008-03
10 WU Yue-xian1,GE Lin-dong1,XU Zhi-yong2(1.Institute of Information Engineering,Information Engineering University,Zhengzhou,Henan 450002,China; 2.Research Institute of Electronic and Telecommunication Technology of Southwest China,Chengdu,Sichuan 610041,China);A Novel Identification Method for Commonly Used Digital Modulations[J];Acta Electronica Sinica;2007-04
China Proceedings of conference Full-text Database 2 Hits
1 Zhang Zhengdao Hu Shousong (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China) (Research Center of Control Science and Control Engineering, Southern Yangtze University, Wuxi 214036, China);Neural network immune ensemble based fault prediction for nonlinear time series[A];[C];2004
2 Wu Yueming Wang Yiqun Li Li Yanshan University, Qin Huangdao, 066004;RELIABILITY DISTRIBUTIONS INTELLIGENT IDENTIFICATION BASED ON NEURAL NETWORK INTEGRATION[A];[C];2006
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 Peng Hanchuan; Gan Qiang; Wei Yu( Dept . of Biomedical Engineering, Southeast Univ . . Nanjing 210096);Several Realistic Approaches to lmprove theGeneralization of Feedforward Neural Networks[J];Acta Electronica Sinica;1998-04
2 LI Zuoyong1,PENG Lihong2(1. Institute of Information Science, Chengdu University of Information Technology, Chengdu 610041, China;2. Research Center of Environmental Science, Xiamen University, Xiamen 361005, China);Parameter Optimization of Heavy Rain Intensity Formula Based on Genetic Algorithm[J];Plateau Meteorology;2003-06
3 Wang Fanqiang 1 Xu Wenjin 2 Chen Jielun 2 Wang Xin 1 ( 1 Qinghai Meteorology Bureau,Xining,Qinghai 810001) ( 2 Nanjing Institute of Meteorology,Nanjing,Jiangsu 210044);THE APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR REGIONAL RAIN FORECAST IN QINGHAI PROVINCE[J];PLATEAU METEOROLOGY;1997-01
4 ;Research of the VC-Dimension Computation of Neural Networks[J];Computer Science;2000-07
5 Zhang Banglin Chou Jifan(Department of Atmospheric Sciences, Lanzhou University, 730000);A STUDY ON THE STABILITY OF THE EOF EXPANDED PRECISION[J];Acta Meteorologica Sinica;1992-03
6 Jin Long(Jiangsu Research Institute of Meteorological Sciences, Nanjing,210008)Miao Chunsheng (Nanjing Institute of Meteorology,Nanjing,210044)Chen Ning (Jiangsu Research Institute of Meteorological Sciences, Nanjing,210008) Luo Ying[WT6BX] (Jiangsu;COMPREHENSIVE ANALYSIS ON QUALITATIVE AND QUANTITATIVE MODEL OF LONG-TERM FORECASTING[J];ACTA METEOROLOGICA SINICA;2000-04
7 Hu Jianglin(Wuhan Heavy Rain Institute,Wuhan 430074) Zhang Liping (Wuhan Central Weather Service,Wuhan 430074) Yu Rucong (LASG,Institute of Atmospheric,Chinese Academy of Sciences,Beijing 100029);THE STUDY ON APPLYING NEURAL NETWORK MODELS TO PREDICTION OF SUMMER PRECIPITATION IN HUBEI PROVINCE[J];Acta Meteorologica Sinica;2001-06
8 Jin Long(Guangxi Research Institute of Meteorological Disasters Mitigation, N anning 530022)Kuang Xueyuan(Guangxi Center of Climate, Nanning 530022)Wang Haihong(Guangxi Research Institute of Meteorological Disasters Mitigation, N anning 530022)Qin Zhinian(Guangxi Center of Climate, Nanning 530022)Wang Yehong(Nanjing Institute of Meteorology, Nanjing 210044);STUDY ON THE OVERFITTING OF THE ARTIFICIAL NEURAL NETWORK FOR ECASTING MODEL[J];Acta Meteorologica Sinica;2004-01
9 Li Weijing Chen Lijuan (National Climate Center,Beijing,100081);RESEARCH ON REEXPLANATION AND REANALYSIS METHOD OF DYNAMICAL EXTENDED RANGE FORECAST PRODUCTS[J];ACTA METEOROLOGICA SINICA;1999-03
10 Chen Lijuan Li Weijing (National Climate Center, Beijing 100081);Application of Products of Monthly Dynamic Extended Forecast to Three Gorges Engineering[J];Meteorological Monthly;2001-03
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved