Forecasting with artificial neural networks: The state of the art

被引:2644
作者
Zhang, GQ [1 ]
Patuwo, BE [1 ]
Hu, MY [1 ]
机构
[1] Kent State Univ, Grad Sch Management, Kent, OH 44242 USA
关键词
neural networks; forecasting;
D O I
10.1016/S0169-2070(97)00044-7
中图分类号
F [经济];
学科分类号
02 ;
摘要
Interest in using artificial neural networks (ANNs) for forecasting has led to a tremendous surge in research activities in the past decade. While ANNs provide a great deal of promise, they also embody much uncertainty. Researchers to date are still not certain about the effect of key factors on forecasting performance of ANNs. This paper presents a state-of-the-art survey of ANN applications in forecasting. Our purpose is to provide (1) a synthesis of published research in this area, (2) insights on ANN modeling issues, and (3) the future research directions. (C) 1998 Elsevier Science B.V.
引用
收藏
页码:35 / 62
页数:28
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