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《Journal of Agricultural University of Hebei》 2001-04
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Application of RBF neural network in strength forecast of fly ash concrete

ZHOU Rui-Lin1,LIU Yong-jian2 (1Department of Campus Planning, Agricultural Universi ty of Hebei, Baoding 071001, China; 2.The lst Subcompany of Hebei Province Construction Company, Baoding 071051,China)  
In this paper, the models of RBF (Radial basis funct ion) network, whic h are widely applied, and their learning algorithms are recommended. Then the ap proaches are applied to strength forecast of fly ash concrete. The results show that RBF neural network approach have merit of high forecasting accuracy and fac ility, so it will have broad prospect of application in performance forec ast.
【CateGory Index】: TU528.2
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 LIU Mei qin 1 CHEN Ji da 2 CAI Zi xing 2 1 (Dept.of Control Science & Engineering, Huazhong University of Science & Technology Wuhan 430074) 2 (College of Information Engineering, Central South University of Technology Changsha 410083;LEARNING THE ARCHITECTURES AND PARAMETERS OF RBF NEURAL NETWORK BASED ON MDL[J];MINI-MICRO SYSTEMS;2000-04
【Co-citations】
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1 LI Yi bo 1) HUANG Xiao yuan 2) ( 1) Shenyang Institute of Aeronautical, Shenyang 110034; 2) Northeast University, Shenyang 110003, China);Resolution of overlapping chromatographic peaks based on GA and RBFNN[J];JOURNAL OF BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY;2001-03
2 Li Yibo  (Shenyang Institute of Aeronautical Engineering, Shenyang 110034) Huang Xiaoyuan (Northeast University ,Shenyang 110006);Resolution of Chromatographic Peaks by Radial Basis Function Neural Network Based on Plate Model Based on a Developed Sorting Genetic Algorithm[J];Chinese Journal of Analytieal Chemistry;2001-03
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7 LI Yi bo,HUANG Xiao yuan (School of Business Administration, Northeast University, Shenyang 110006,China);A New Technology Based on RBFNN and GA for Resolving Overlapped Peaks[J];Journal of Applied Sciences;2002-01
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