Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Vibration and Shock》 2015-04
Add to Favorite Get Latest Update

Vibration response prediction of a powerhouse structure based on SSPSO-GRNN

XU Guo-bin;HAN Wen-wen;WANG Hai-jun;State Key Laboratory of Hydraulic Engineering Simulation and Safety,Tianjin University;Tianjin Pu Ze Engineering Consultion Co. ,Ltd.;  
Particle swarm optimization( PSO) algorithm is easy to fall into local extremum and premature convergence. To overcome defects of PSO,a new kind of PSO based on the survival of the fittest and step by step selection( SSPSO) was proposed here. Then,SSPSO was used to optimize smoothness parameter P of generalized regression neural network( GRNN). The advantages of the strong optimization ability of SSPSO and fewer parameters of GRNN were fully used. Then,the vibration response prediction model based on SSPSO-GRNN for a power-house structure was constructed based on the study data of a certain crest overflow hydropower station. The predicted results showed that the optimization capability of SSPSO is greatly improved compared with PSO; at the same time,the prediction accuracy,convergence performance and generalization ability of SSPSO-GRNN are better than those of other networks. The study results provided a new method for vibration response prediction of hydropower station houses to enhance their intelligent monitoring.
【Fund】: 国家自然科学基金创新研究群体科学基金项目(51321065)
【CateGory Index】: TV731;TV32
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 Wang Lianguo1,2 Shi Qiuhong11(School of Information Science and Technology,Gansu Agricultural University,Lanzhou 730070,Gansu,China)2(College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730030,Gansu,China);SELF-COMPETITIVE PARTICLE SWARM OPTIMIZATION ALGORITHM[J];Computer Applications and Software;2009-12
2 CHEN Jian-cheng1,TU Ang-yan2(1.Dept.of Computer,Zhejiang Industry Polytechnic College,Shaoxing 312000,China;2.Dept.of Computer,Shaoxing University,Shaoxing 312000,China);ONE REPLACEMENT OPTIMIZATION OF MULTI-PARTICLE SWARMS BASED ON THE SURVIVAL OF THE FITTEST[J];Journal of Shaanxi University of Science & Technology(Natural Science Edition);2009-06
3 XIONG Wei-li1, XU Bao-guo2 (1.Control Science and Engineering Research Center, Southern Yangtze University, Wuxi 214122, China; 2.School of Communication and Control Engineering, Southern Yangtze University, Wuxi 214122, China);Study on Optimization of SVR Parameters Selection Based on PSO[J];Journal of System Simulation;2006-09
4 ZHOU Guo-xiong1, YAN Mi-ying2 (1. School of Electron & Information Engineering, Central South University of Forestry & Technology, Changsha 41004, China; 2.School of information science & Engineering, Central South University, Changsha 410083, China);Fuzzy Control Algorithm Based on Particle Swarm Optimization for Incubation[J];Journal of System Simulation;2008-24
5 FU Qiang~1,HU Shang-xu~1,ZHAO Sheng-ying~2(1. Institute of Intelligence Information Engineering, Zhejiang University, Hangzhou 310027,China;2. UTStarcom Telecom Ltd, Hangzhou 310027,China);PSO-based approach for neural network ensembles[J];Journal of Zhejiang University(Engineering Science);2004-12
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 CHEN Chuanliang1) TIAN Yingjie2) BIE Rongfang1)(1)College of Information Science and Technology,Beijing Normal University,100875,Beijing,China;2)Research Centre on Fictitious Economy & Data Science,Chinese Academy of Sciences,100080,Beijing,China);RESEARCH OF SVR OPTIMIZED BY PSO COMPARED WITH BP NETWORK TRAINED BY PSO[J];Journal of Beijing Normal University(Natural Science);2008-05
2 LUO De-jiang1,ZHANG Yong-feng2,LIU Cheng11.College of Information Management,Chengdu University of Technology,Chengdu 610059,China;2.Chengdu Electromechanical College,Chengdu 610031,China;Nonlinear regression analysis based on PSO-WNN and application[J];Journal of Chengdu University of Technology(Science & Technology Edition);2007-06
3 YANG Jian-ming1,ZHANG Jia-wei2(1.Well Logging Corporation,Daqing Oil Management Bureau,Daqing 163000,China;2.Departement of Mechan-electrcity Engineering,Northeast Forestry University,Harbin 150040,China);PSO-BP nonlinear calibration technique for petroleum water content measurement[J];Transducer and Microsystem Technologies;2008-05
4 MAO Jian,CAO Yan-long(Institute of Manufacturing Engineering,Zhejiang University,Hangzhou 310027,China);Evaluation method for spatial straightness errors based on particle swarm optimization[J];Journal of Engineering Design;2006-05
5 YUAN Jun, ZHOU Xiao-wei, YANG Bo-lun (State Key Laboratory of Multiphase Flow in Power Engineering, Department of Chemical Engineering, School of Engineering and Power, Xi’an Jiaotong University, Xi’an 710049, China);Prediction of Octane Number for Clean Gasoline Obtained from Secondary Reaction Based on LM/SVM Approach[J];Journal of Chemical Engineering of Chinese Universities;2010-02
6 ZHAO Zexin1 ZHANG Yuanjun2(1.Chongqing Research Institute of China Coal Technology &Engineering Group Corporation,Chongqing 400050;2.Furong Shanmushu Mining Company,Yibin 644501);The Charging Control Technology of Miner Based on PSO Optimization of Fuzzy PID[J];Journal of Chongqing University of Science and Technology(Natural Sciences Edition);2012-06
7 HONG Wen-peng,CHEN Zhong(School of Energy and Power Engineering,Northeast Dianli University,Jilin 132012,China);Efficiency Prediction of Ammonia Flue Gas Desulfurization Based on Adaptive PSO-BP Model[J];Journal of Chinese Society of Power Engineering;2013-04
8 CHEN Pei-you;LIU Lu;College of Economic Management,Heilongjiang University of Science & Technology;College of Graduate Studies,Heilongjiang University of Science & Technology;;Coal Railway Logistics Demand Forecasting Based on PSO-SVR[J];Science Technology and Industry;2013-12
9 Liu Yibin;Tu Yongshan;Li Chunyi;Yang Chaohe;State Key Laboratory of Heavy Oil Processing, China University of Petroleum;;Catalytic Cracking and PSO-RBF Neural Network Model of FCC Cycle Oil[J];中国炼油与石油化工(英文版);2013-04
10 Tian Yubo1,Sheng Hui2,Zhang Suling1,Li Jingyi1(1.School of Electronics and Information,Jiangsu University of Science and Technology,Zhenjiang Jiangsu 212003,China)(2.School of Electronic Science and Engineering,Sowtheast University,Nanjing Jiangsu 210096,China);Modeling resonant frequency of circular microstrip antenna by using neural network ensemble based on chaos particle swarm optimization[J];Journal of Jiangsu University of Science and Technology(Natural Science Edition);2009-03
China Proceedings of conference Full-text Database 2 Hits
1 Cao Chengtao,Xu Jianmin College of Traffic and Communications,South China University of Technology,Guangzhou,510641,P.R.China;Improved Particle Swarm Optimized SVM for Short-term Traffic Flow Predication[A];[C];2007
2 MA Wen-tao (Department of Maths & Computer Engineering,Ningxia University,Yinchuan 750021,China);A predicative study of loosening zones around roadways with least square support vector machines method with optimized parameters[A];[C];2007
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 LI Ai-guo ( Department of Computer Science, Xi'an University of Science and Technology, Xi'an 710054,China);Particle Swarms Cooperative Optimizer[J];Journal of Fudan University;2004-05
2 Zhang Yan Wang Lei Kang Qi Wu Qidi (School of Electronic and Information Engineering,Tongji University,Shanghai200092);Summary of Particle Swarm Optimization and Its Improved Algorithms[J];Computer Engineering and Applications;2005-02
3 XIA Gui-mei,ZENG Jian-chao Division of System Simulation and Computer Application,Tianyuan University of Science and Technology,Taiyuan 030024,China;Stochastic particle swarm optimization algorithm based on genetic algorithm of tournament selection[J];Computer Engineering and Applications;2007-04
4 WANG Hui,QIAN Feng State Key Laboratory of Chemical Engineering,East China University of Science and Technology,Shanghai 200237,China;Improved particle swarm optimizer with behavior of distance models[J];Computer Engineering and Applications;2007-30
5 FENG Xingjie1,2,WEI Xin1,HUANG Yalou2 (1.Department of Computer Science and Technology,Civil Aviation University of China,Tianjin 300300; 2.College of Software,Nankai University,Tianjin 300071);Predicting the Airport Passenger Throughput Based on a Support Vector Regression Model[J];Computer Engineering;2005-14
6 ZHOU Yang-hua1,HUANG Lin2,XI Mao-long2(1.School of Information Technology,Jiangnan University,Wuxi Jiangsu 214122,China;2.School of Electromechanical Technology,Wuxi Institute of Technology,Wuxi Jiangsu 214121,China);Quantum-behaved particle swarm optimization algorithm with random selection of optimal individual[J];Journal of Computer Applications;2009-06
7 LI Rong-jun,CHANG Xian-ying(College of Business Administration,South China University of Technology,Guangzhou 510640,China);New hybrid particle swarm optimization[J];Application Research of Computers;2009-05
8 Yang liang, Xiong Weili,Xu Baoguo (School of Communication and control Engineering, Southern Yangtze University, Wuxi 214036,China);Control system of Appending Stuffa about Engineering Bacteria Fermentation Base on the Particale Swarm Optimize[J];Computer Automated Measurement & Control;2005-03
9 SU Tao,YAO Kai-xue Department of Computer Science,Guizhou University,Guiyang 550025, China;Control System Based on Fuzzy-PI Two-model Control[J];Control Engineering of China;2005-S2
10 LAI Xu-zhi,ZHOU Guo-xiong,CAO Wei-hua,WU Min(School of Information Science and Engineering,Central South University,Changsha 410083,China);Method and Application of Fuzzy-expert Control System in Coke-oven for Gas Collector Pressure[J];Control Engineering of China;2006-02
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved