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Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy
2022
Journal of Mathematics
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
doi:10.1155/2022/8374696
fatcat:s275lafccbe4jlsjkonuqnfsva