Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Anhui Agricultural Sciences》 2011-26
Add to Favorite Get Latest Update

Prediction and Research on Vegetable Price Based on Genetic Algorithm and Neural Network Model

GUO Qiang et al(Institute of Information on Science and Technology of Agriculture,Beijing Academy of Agriculture and Forestry Sciences,Beijing,100097)  
Considering the complexity of vegetables price forecast,the prediction model of vegetables price was set up by applying the neural network based on genetic algorithm by using the characteristics of genetic algorithm and neural work.Taking mushrooms as an example,the parameters of the model are analyzed through experiment.In the end,the results of genetic algorithm and BP neural network are compared.The results show that the absolute error of prediction data is in the scale of 10%;in the scope that the absolute error in the prediction data is in the scope of 20% and 15%.The accuracy of genetic algorithm based on neutral network is higher than the BP neutral network model,especially the absolute error of prediction data is within the scope of 20%.The accuracy of genetic algorithm based on neural network is obviously good than BP neural network model,which represents the favorable generalization capability of the model.
【Fund】: 北京市自然基金项目(9093019)
【CateGory Index】: F323.7;TP183
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
Chinese Journal Full-text Database 3 Hits
1 PAN Xiao-minga,WU Jian-shengb(a.Department of Physics and Information Science.b.Department of Mathematics and Computer Science,Liuzhou Teachers College,Liuzhou 545004,China);Study on the Stock Market Prediction Model of Neural Ensemble Based on Genetic Algorithms[J];Journal of Guangxi Teachers Education University(Natural Science Edition);2007-01
2 LI Xi-pan1,LIU Xin-xia1,ZHANG An-bing1,2,SUN Zhen3 (1.College of Source,Hebei University of Engineering,Handan 056038,China;2.Chinese University of Mining and Technology,Xuzhou 220186,China;3.Shandong GIS Company of Zhongji,Jinan 250101,China);Study in landslide prediction on genetic algorithm optimized BP network[J];Journal of Hebei University of Engineering(Natural Science Edition);2009-01
3 WANG Zhi-xing1,3,LI Cheng-zhen2,FAN Bao-shan2,CHEN Gang1(1.Institute of Water Conservancy and Hydroelectricity,Xi'an Unitiversity of Technology,Xi'an 710048,Shaanxi,China;2.China Water Northrastern Investigation,Design and Research Co.,Ltd.,Changchun 130061,Jilin,China;3.Heilongjiang Provincial Water Conservancy and Hydroelectric Power Investigation,Design and Research Institute,Haerbin 150080,Heilongjiang,China);River ice-regime forecast based on genetic algorithm neural network[J];Water Resources and Hydropower Engineering;2009-02
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 SUN Dan 1, ZHANG Xiu-yan 2 (1.School of Information Science, Tianjin Business College, Tianjin 300122, China; 2.College of Business, Jilin University, Changchun 130012, China);Forecast model for stock market based on artificial neural networks[J];Journal of Changchun Post and Telecommunication Institute;2002-04
2 LI Min 1,ZHOU Jie zhong 1,LI Jun ping 1,LIANG Jian wu 2 (1. Research Department,Changsha Railway University,Changsha 410075,China;2. Center for Modern Education Approch, Changsha Railway University,Changsha 410075,China);Predicting Securities Market in Shanghai and Shenzhen by ARMA Model[J];JOURNAL OF CHANGSHA RAILWAY UNIVERSITY;2000-01
3 MA Feng-hai1, YANG wei2 , YANG Fan 4,YU Xiao-xi 3 ( 1.Office of Discipline Construction , Liaoning Technical University,Fuxin 123000,China;2.Benxi Iron-steel Company, Benxi 117100, China;3. College of Civil and Architecture Engineering, Liaoning Technical University,Fuxin 123000,China;4. Dept. of Surveying Engineering, Liaoning Technical University,Fuxin 123000,China);Forecast water consumption with improved BP neural network[J];Journal of Liaoning Technical University;2004-02
4 LIU Chao-ying,WANG Hui-fang,SONG Xue-ling,SONG Zhe-ying,LI Kai(College of Electrical Engineering and Information Science,Hebei University of Science and Technology,Shijiazhuang Hebei 050018,China);Improved fuzzy-tuned neural network and its application[J];Journal of Hebei University of Science and Technology;2008-04
5 ZHANG An-bing1,2,SUN Jun1,GAO Jing-xiang2,LI Xi-pan1(1.College of water conservancy and Electric Power,Hebei University of Egneering,Handan 056021,China;2.China University of Mining and Technology,Xuzhou 221008,China);Study on landslide prediction based on Rough set and RS-BT united model[J];Journal of Hebei University of Engineering(Natural Science Edition);2007-01
6 ZHANG An-bing1,2,GAO Jing-xiang2,SHI Cui-mei1,LIU Xin-xia1,ZHAO Yu-ling1(1.Collge of Natural Resource,Hebei University of Engineering,Handan 056021,China;2.School of Environment Science and Spatial Informatics,China University of Mining and technology,Xuzhou 220186,China);Research on the model and application of AGO—BP network prediction model[J];Journal of Hebei University of Engineering(Natural Science Edition);2007-03
7 ZHU Yun, WANG Xing yu * (Department of Automation ECUST, Shanghai 200237, China);An Application of RBF Neural Network to Stock Market Trend Prediction[J];Journal of East China University of Science and Technology;2002-05
8 ZHANG Airan,LUO Xinrong,YANG Fei,KANG Yutao(Safety Engineering College,China University of Mining and Technology,Xuzhou 221008,China);Risk assessment model of gas explosion based on fuzzy neural network[J];Journal of Heilongjiang Institute of Science and Technology;2008-01
9 CHEN Ke, ZHANG Qinshun, CHEN Peipei, CAI Riji (B9902092, Shanghai Jiaotong University, Shanghai 200030);BP Neural Network Modeling for Stock Forecasting[J];Computer Engineering;2001-11
10 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
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved