Economic Growth Prediction Algorithm of Coastal Area Based on Impulse Response Function

In order to solve the problems of low accuracy and long prediction time of traditional economic growth prediction algorithms in coastal areas, an algorithm based on impulse response function was designed to analyze economic growth prediction in coastal areas. Crawler technology is used to capture th...

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Autores principales: Qiu Rong-Shan, Ding Ding, Han Li-Min
Formato: article
Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/b8afa6ba56344b2bbe1c4173547cad0a
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spelling oai:doaj.org-article:b8afa6ba56344b2bbe1c4173547cad0a2021-11-22T01:11:00ZEconomic Growth Prediction Algorithm of Coastal Area Based on Impulse Response Function1939-012210.1155/2021/3864188https://doaj.org/article/b8afa6ba56344b2bbe1c4173547cad0a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3864188https://doaj.org/toc/1939-0122In order to solve the problems of low accuracy and long prediction time of traditional economic growth prediction algorithms in coastal areas, an algorithm based on impulse response function was designed to analyze economic growth prediction in coastal areas. Crawler technology is used to capture the economic data of coastal areas and normalize the captured data. Based on the processed data, the impulse response function is used to analyze the relationship between different economic variables, so as to build the PSO-LSTM model, which is used to predict the economic growth trend of coastal areas. The experimental results show that, compared with the experimental comparison algorithm, the prediction accuracy of the algorithm designed in this paper is always above 97%, and the prediction time is always below 1 s, which has certain practical significance.Qiu Rong-ShanDing DingHan Li-MinHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
Science (General)
Q1-390
spellingShingle Technology (General)
T1-995
Science (General)
Q1-390
Qiu Rong-Shan
Ding Ding
Han Li-Min
Economic Growth Prediction Algorithm of Coastal Area Based on Impulse Response Function
description In order to solve the problems of low accuracy and long prediction time of traditional economic growth prediction algorithms in coastal areas, an algorithm based on impulse response function was designed to analyze economic growth prediction in coastal areas. Crawler technology is used to capture the economic data of coastal areas and normalize the captured data. Based on the processed data, the impulse response function is used to analyze the relationship between different economic variables, so as to build the PSO-LSTM model, which is used to predict the economic growth trend of coastal areas. The experimental results show that, compared with the experimental comparison algorithm, the prediction accuracy of the algorithm designed in this paper is always above 97%, and the prediction time is always below 1 s, which has certain practical significance.
format article
author Qiu Rong-Shan
Ding Ding
Han Li-Min
author_facet Qiu Rong-Shan
Ding Ding
Han Li-Min
author_sort Qiu Rong-Shan
title Economic Growth Prediction Algorithm of Coastal Area Based on Impulse Response Function
title_short Economic Growth Prediction Algorithm of Coastal Area Based on Impulse Response Function
title_full Economic Growth Prediction Algorithm of Coastal Area Based on Impulse Response Function
title_fullStr Economic Growth Prediction Algorithm of Coastal Area Based on Impulse Response Function
title_full_unstemmed Economic Growth Prediction Algorithm of Coastal Area Based on Impulse Response Function
title_sort economic growth prediction algorithm of coastal area based on impulse response function
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/b8afa6ba56344b2bbe1c4173547cad0a
work_keys_str_mv AT qiurongshan economicgrowthpredictionalgorithmofcoastalareabasedonimpulseresponsefunction
AT dingding economicgrowthpredictionalgorithmofcoastalareabasedonimpulseresponsefunction
AT hanlimin economicgrowthpredictionalgorithmofcoastalareabasedonimpulseresponsefunction
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