Research on SPA forecasting method based on RNN and ant colony optimization algorithm

doi:10.12733/jics20102550

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	Research on SPA forecasting method based on RNN and ant colony optimization algorithm
	Wang, Qingrong 1,2; Xu, Feng 1; Zhang, Qing 1
刊名	Journal of Information and Computational Science
	2014-02-10
卷号	11 期号:3 页码:875-881
关键词	Algorithms Markov processes Recurrent neural networks Ant Colony Optimization algorithms Forecasting accuracy Forecasting methods Forecasting modeling Forecasting models Fuzzy Set pair analysis Set-pair analysis theories
ISSN号	15487741
DOI	10.12733/jics20102550
英文摘要	To reduce the limitation of conventional forecasting methods, the set pair analysis theory is introduced to describe the dynamic system, and the forecasting model based on SPA have been built. And corresponding algorithm has also been put forward based on ant colony neural network. Meanwhile, the node number m of recursive network input layer, parameter q of the recursive network. Finally, a case study has been carried out by using calculating and comparing analysis with forecasting accuracy of relevant forecasting models has been made. The results show that the accuracy of SPA forecasting model based on recurrent neural network and random gray ant colony optimization algorithm is not only greater than any other single forecasting models, but also superior to other traditional combinational forecasting models. © 2014 by Binary Information Press.
语种	英语
出版者	Binary Information Press
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/113339]
专题	兰州理工大学
作者单位	1.Lanzhou Jiaotong University School of Electronic and Information Engineering, Lanzhou 730070, China; 2.Lanzhou University of Technology School of Electrical and Information Engineering, Lanzhou 730030, China
推荐引用方式 GB/T 7714	Wang, Qingrong,Xu, Feng,Zhang, Qing. Research on SPA forecasting method based on RNN and ant colony optimization algorithm[J]. Journal of Information and Computational Science,2014,11(3):875-881.
APA	Wang, Qingrong,Xu, Feng,&Zhang, Qing.(2014).Research on SPA forecasting method based on RNN and ant colony optimization algorithm.Journal of Information and Computational Science,11(3),875-881.
MLA	Wang, Qingrong,et al."Research on SPA forecasting method based on RNN and ant colony optimization algorithm".Journal of Information and Computational Science 11.3(2014):875-881.