Application of Gray B6 P Neural Network in Henan Coal Demand Forecast

Application of Gray B6 P Neural Network in Henan Coal Demand Forecast

This paper studied the coal demand in the prediction accuracy problems. The traditional gray GM(1,1)model has the theoretical prediction problem of poor accuracy which leaded to less accurate prediction. A modified gray BP Neural Network forecasting model was used to predict the residual correction....

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Main Author: Guohua GOU
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201817503015
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spelling doaj-f52da5dc785f4330a6c8fae2ca044fc82021-03-02T10:36:46ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011750301510.1051/matecconf/201817503015matecconf_ifcae-iot2018_03015Application of Gray B6 P Neural Network in Henan Coal Demand ForecastGuohua GOUThis paper studied the coal demand in the prediction accuracy problems. The traditional gray GM(1,1)model has the theoretical prediction problem of poor accuracy which leaded to less accurate prediction. A modified gray BP Neural Network forecasting model was used to predict the residual correction. The total consumption of coal as a major factor in variables was selected to construct forecast of coal demand The simulation results show that the proposed algorithm has better prediction accuracy and is an effective demand forecasting algorithmhttps://doi.org/10.1051/matecconf/201817503015
collection DOAJ
language English
format Article
sources DOAJ
author Guohua GOU
spellingShingle Guohua GOU
Application of Gray B6 P Neural Network in Henan Coal Demand Forecast
MATEC Web of Conferences
author_facet Guohua GOU
author_sort Guohua GOU
title Application of Gray B6 P Neural Network in Henan Coal Demand Forecast
title_short Application of Gray B6 P Neural Network in Henan Coal Demand Forecast
title_full Application of Gray B6 P Neural Network in Henan Coal Demand Forecast
title_fullStr Application of Gray B6 P Neural Network in Henan Coal Demand Forecast
title_full_unstemmed Application of Gray B6 P Neural Network in Henan Coal Demand Forecast
title_sort application of gray b6 p neural network in henan coal demand forecast
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description This paper studied the coal demand in the prediction accuracy problems. The traditional gray GM(1,1)model has the theoretical prediction problem of poor accuracy which leaded to less accurate prediction. A modified gray BP Neural Network forecasting model was used to predict the residual correction. The total consumption of coal as a major factor in variables was selected to construct forecast of coal demand The simulation results show that the proposed algorithm has better prediction accuracy and is an effective demand forecasting algorithm
url https://doi.org/10.1051/matecconf/201817503015
work_keys_str_mv AT guohuagou applicationofgrayb6pneuralnetworkinhenancoaldemandforecast
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