Neural Network Research Progress and Applications in Forecast

Authors:
Shifei Ding;Weikuan Jia;Chunyang Su;Liwen Zhang;Zhongzhi Shi
Affiliations:
School of Computer Science and Technology, China University of Mining and Technoogy, Xuzhou 221008 and Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chin ...;College of Plant Protection, Shandong Agricultural University, Taian 271018;School of Computer Science and Technology, China University of Mining and Technoogy, Xuzhou 221008;School of Computer Science and Technology, China University of Mining and Technoogy, Xuzhou 221008;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Science, Beijing 100080
Venue:
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Year:
2008

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Abstract

This paper roughly reviews the history of neural network, briefly introduces the principles, the features, and the applied fields of neural network, and puts emphasis on discussing the current situation of the latest research from parameters selection, algorithms improvement, network structure improvement and activation function; expounds the effect of neural network in modeling and forecast, from forward direction modeling and reverse direction modeling, describes the principles of modeling and forecast based on neural network in details, analyzes the basic steps of forecast using neural network, then discusses the latest research progress and the facing problems in this field, at last looks forward to the developing trend of this advancing front theory and its applied prospect in forecast.