A GA-BP neural network for nonlinear time-series forecasting and its application in cigarette sales forecast

Neural network modeling for nonlinear time series predicts modeling speed and computational complexity. An improved method for dynamic modeling and prediction of neural networks is proposed. Simulations of the nonlinear time series are performed, and the idea and theory of optimizing the initial wei...

Full description

Bibliographic Details
Main Authors: Sun Zheng, Li XiNa, Zhang HongTao, Ikbal Mohammad Asif, Farooqi Ataur Rahman
Format: Article
Language:English
Published: De Gruyter 2022-06-01
Series:Nonlinear Engineering
Subjects:
Online Access:https://doi.org/10.1515/nleng-2022-0025
_version_ 1811202944622657536
author Sun Zheng
Li XiNa
Zhang HongTao
Ikbal Mohammad Asif
Farooqi Ataur Rahman
author_facet Sun Zheng
Li XiNa
Zhang HongTao
Ikbal Mohammad Asif
Farooqi Ataur Rahman
author_sort Sun Zheng
collection DOAJ
description Neural network modeling for nonlinear time series predicts modeling speed and computational complexity. An improved method for dynamic modeling and prediction of neural networks is proposed. Simulations of the nonlinear time series are performed, and the idea and theory of optimizing the initial weights and threshold of the GA algorithm are discussed in detail. It has been proved that the use of GA-BP neural network in cigarette sales forecast is 80% higher than before, and this method has higher accuracy and accuracy than the gray system method.
first_indexed 2024-04-12T02:47:33Z
format Article
id doaj.art-60f3cb7433064233b09b0380fbd4e29f
institution Directory Open Access Journal
issn 2192-8029
language English
last_indexed 2024-04-12T02:47:33Z
publishDate 2022-06-01
publisher De Gruyter
record_format Article
series Nonlinear Engineering
spelling doaj.art-60f3cb7433064233b09b0380fbd4e29f2022-12-22T03:51:07ZengDe GruyterNonlinear Engineering2192-80292022-06-0111122323110.1515/nleng-2022-0025A GA-BP neural network for nonlinear time-series forecasting and its application in cigarette sales forecastSun Zheng0Li XiNa1Zhang HongTao2Ikbal Mohammad Asif3Farooqi Ataur Rahman4Information center, China Tobacco Henan Industrial Co., Ltd, Zhengzhou, Henan, 450000, ChinaInformation center, China Tobacco Henan Industrial Co., Ltd, Zhengzhou, Henan, 450000, ChinaInformation center, China Tobacco Henan Industrial Co., Ltd, Zhengzhou, Henan, 450000, ChinaSchool of Electrical and Electronics Engineering, Lovely Professional University, Phagwara, Punjab, IndiaDepartment of Business Administration, College of Applied Sciences UTAS Nizwa, Nizwa, OmanNeural network modeling for nonlinear time series predicts modeling speed and computational complexity. An improved method for dynamic modeling and prediction of neural networks is proposed. Simulations of the nonlinear time series are performed, and the idea and theory of optimizing the initial weights and threshold of the GA algorithm are discussed in detail. It has been proved that the use of GA-BP neural network in cigarette sales forecast is 80% higher than before, and this method has higher accuracy and accuracy than the gray system method.https://doi.org/10.1515/nleng-2022-0025ga-bp neural networknonlinear time seriescigarette sales forecast
spellingShingle Sun Zheng
Li XiNa
Zhang HongTao
Ikbal Mohammad Asif
Farooqi Ataur Rahman
A GA-BP neural network for nonlinear time-series forecasting and its application in cigarette sales forecast
Nonlinear Engineering
ga-bp neural network
nonlinear time series
cigarette sales forecast
title A GA-BP neural network for nonlinear time-series forecasting and its application in cigarette sales forecast
title_full A GA-BP neural network for nonlinear time-series forecasting and its application in cigarette sales forecast
title_fullStr A GA-BP neural network for nonlinear time-series forecasting and its application in cigarette sales forecast
title_full_unstemmed A GA-BP neural network for nonlinear time-series forecasting and its application in cigarette sales forecast
title_short A GA-BP neural network for nonlinear time-series forecasting and its application in cigarette sales forecast
title_sort ga bp neural network for nonlinear time series forecasting and its application in cigarette sales forecast
topic ga-bp neural network
nonlinear time series
cigarette sales forecast
url https://doi.org/10.1515/nleng-2022-0025
work_keys_str_mv AT sunzheng agabpneuralnetworkfornonlineartimeseriesforecastinganditsapplicationincigarettesalesforecast
AT lixina agabpneuralnetworkfornonlineartimeseriesforecastinganditsapplicationincigarettesalesforecast
AT zhanghongtao agabpneuralnetworkfornonlineartimeseriesforecastinganditsapplicationincigarettesalesforecast
AT ikbalmohammadasif agabpneuralnetworkfornonlineartimeseriesforecastinganditsapplicationincigarettesalesforecast
AT farooqiataurrahman agabpneuralnetworkfornonlineartimeseriesforecastinganditsapplicationincigarettesalesforecast
AT sunzheng gabpneuralnetworkfornonlineartimeseriesforecastinganditsapplicationincigarettesalesforecast
AT lixina gabpneuralnetworkfornonlineartimeseriesforecastinganditsapplicationincigarettesalesforecast
AT zhanghongtao gabpneuralnetworkfornonlineartimeseriesforecastinganditsapplicationincigarettesalesforecast
AT ikbalmohammadasif gabpneuralnetworkfornonlineartimeseriesforecastinganditsapplicationincigarettesalesforecast
AT farooqiataurrahman gabpneuralnetworkfornonlineartimeseriesforecastinganditsapplicationincigarettesalesforecast