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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2022-06-01
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Series: | Nonlinear Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1515/nleng-2022-0025 |
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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 |
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