Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy

The agricultural economy covers a wide range and has many influencing factors. There are often serious problems of complexity and diversity. The traditional agricultural economic forecasting methods often ignore the complexity and diversity, and it is difficult to accurately describe the development...

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Main Author: Yucong You
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/8374696
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author Yucong You
author_facet Yucong You
author_sort Yucong You
collection DOAJ
description The agricultural economy covers a wide range and has many influencing factors. There are often serious problems of complexity and diversity. The traditional agricultural economic forecasting methods often ignore the complexity and diversity, and it is difficult to accurately describe the development law of the agricultural economy. To improve the accuracy of agricultural economic time series forecasting under the condition of complexity and diversity, this paper proposes an agricultural economic forecasting method based on Elman neural network structure. Firstly, the data are screened and processed according to the time series of agricultural economic changes, and those factors that are more important to the agricultural economy are screened out from the collected public data. Secondly, this paper designs an efficient Elman neural network topology and sends the selected important data into the neural network for data learning and neural network parameter optimization, to achieve a more accurate agricultural economic forecasting model. Finally, a large number of experimental results show that the method based on the Elman neural network structure can overcome the shortcomings of traditional methods. It can avoid the interference of human subjective will, realize the comprehensive and accurate description of the changing laws of the agricultural economy with time, and promote the development of the agricultural economy.
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institution Kabale University
issn 2314-4785
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publishDate 2022-01-01
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spelling doaj-art-a15fc6ad45074ecf95ed642597156f222025-02-03T01:06:37ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/8374696Using Elman Neural Network Model to Forecast and Analyze the Agricultural EconomyYucong You0Department of Economy and TradeThe agricultural economy covers a wide range and has many influencing factors. There are often serious problems of complexity and diversity. The traditional agricultural economic forecasting methods often ignore the complexity and diversity, and it is difficult to accurately describe the development law of the agricultural economy. To improve the accuracy of agricultural economic time series forecasting under the condition of complexity and diversity, this paper proposes an agricultural economic forecasting method based on Elman neural network structure. Firstly, the data are screened and processed according to the time series of agricultural economic changes, and those factors that are more important to the agricultural economy are screened out from the collected public data. Secondly, this paper designs an efficient Elman neural network topology and sends the selected important data into the neural network for data learning and neural network parameter optimization, to achieve a more accurate agricultural economic forecasting model. Finally, a large number of experimental results show that the method based on the Elman neural network structure can overcome the shortcomings of traditional methods. It can avoid the interference of human subjective will, realize the comprehensive and accurate description of the changing laws of the agricultural economy with time, and promote the development of the agricultural economy.http://dx.doi.org/10.1155/2022/8374696
spellingShingle Yucong You
Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy
Journal of Mathematics
title Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy
title_full Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy
title_fullStr Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy
title_full_unstemmed Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy
title_short Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy
title_sort using elman neural network model to forecast and analyze the agricultural economy
url http://dx.doi.org/10.1155/2022/8374696
work_keys_str_mv AT yucongyou usingelmanneuralnetworkmodeltoforecastandanalyzetheagriculturaleconomy