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An Improved Learning Algorithm for BP Model and its Application to Load Forecasting in Power Systems
引用本文:Luo Chunlei,SunHongbo,XuGuoyu. An Improved Learning Algorithm for BP Model and its Application to Load Forecasting in Power Systems[J]. 保鲜与加工, 1995, 0(6): 110-115
作者姓名:Luo Chunlei  SunHongbo  XuGuoyu
作者单位:Luo Chunlei;SunHongbo;XuGuoyu
摘    要:This paper analyses the cause of very slow learning rate during the time of ap-proaching the minim um poi nt in con vertional BP algorithm, by introducing weight factor into themodification of the connection weight,an improved leavning algorithm for BP model is presented,itcan sign ificantly in crease the learning rate and improve con vergent behaviour.As an illustrative ap-plication example,the n umeriCal resu It of the medium-term load forecasting is given.

关 键 词:power system  load forecating/BP model  accumulated error back propaga-tion algorithm  

An Improved Learning Algorithm for BP Model and its Application to Load Forecasting in Power Systems
Luo Chunlei,SunHongbo,XuGuoyu. An Improved Learning Algorithm for BP Model and its Application to Load Forecasting in Power Systems[J]. Storage & Process, 1995, 0(6): 110-115
Authors:Luo Chunlei  SunHongbo  XuGuoyu
Affiliation:Luo Chunlei;SunHongbo;XuGuoyu
Abstract:This paper analyses the cause of very slow learning rate during the time of ap-proaching the minim um poi nt in con vertional BP algorithm, by introducing weight factor into themodification of the connection weight,an improved leavning algorithm for BP model is presented,itcan sign ificantly in crease the learning rate and improve con vergent behaviour.As an illustrative ap-plication example,the n umeriCal resu It of the medium-term load forecasting is given.
Keywords:power system  load forecating/BP model  accumulated error back propaga-tion algorithm  
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