A review of some main improved models for Neural Network forecasting on time series - 文章详情页

作者：

Chai, Ming-Liang (Chai, Ming-Liang.) | Song, Su (Song, Su.) | Li, Ning-Ning (Li, Ning-Ning.)

收录：

EI Scopus

摘要：

Time　series　forecasting　is　one　of　the　important　problem　in　the　time　series　analysis.　As　one　of　the　most　powerful　analysis　tools　for　time　series　forecasting,　Neural　Network(NN)　has　been　receiving　considerable　attention　since　many　years　ago　and　a　large　number　of　improvements　of　NN-based　forecasting　on　time　series　have　appeared　in　the　relevant　literature.　This　paper　review　the　structure　improvement　of　NN　and　the　main　combination　of　NN　and　other　pop　technologies　in　the　improvement　of　algorithms.　It　is　the　summary　of　this　paper　in　the　end.　©　2005　IEEE.

关键词：

Algorithms Forecasting Mathematical models Neural networks Problem solving Time series analysis

作者机构：

[ 1 ] [Chai, Ming-Liang]Electronic Information and Control Engineering College, Beijing Polytechnic University, 100022, China
[ 2 ] [Chai, Ming-Liang]Beijing University of Technology
[ 3 ] [Song, Su]Electronic Information and Control Engineering College, Beijing Polytechnic University, 100022, China
[ 4 ] [Song, Su]Beijing University of Technology
[ 5 ] [Li, Ning-Ning]Electronic Information and Control Engineering College, Beijing Polytechnic University, 100022, China

通讯作者信息：

电子邮件地址：

chaimingliang@emails.bjut.edu.cn

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