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

doi:10.12733/jics20102550

	Research on SPA forecasting method based on RNN and ant colony optimization algorithm
	Wang, Qingrong 1,2; Xu, Feng 1; Zhang, Qing 1
	2014-02-10
发表期刊	Journal of Information and Computational Science
ISSN	15487741
卷号	11 期号:3 页码:875-881
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.
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
DOI	10.12733/jics20102550
收录类别	EI
语种	英语
出版者	Binary Information Press
EI入藏号	20141117453903
EI主题词	Forecasting
EI分类号	723 Computer Software, Data Handling and Applications - 723.4 Artificial Intelligence - 921 Mathematics - 922.1 Probability Theory
来源库	Compendex
分类代码	723 Computer Software, Data Handling and Applications - 723.4 Artificial Intelligence - 921 Mathematics - 922.1 Probability Theory
引用统计	无
文献类型	期刊论文
条目标识符	https://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
第一作者单位	兰州理工大学
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.