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Optimization Logistic Regression Model for the Development of Agricultural Circular Economy

Yan Zhang, Shuhui Wen, Wei Wu, Ying Cui

Abstract


In view that the existing SPSS analysis model cannot be good enough to analyze the effect factors of the agricultural circulation economy development, this paper proposed a influence factor analysis programme of the agricultural circulation economy development based on optimization Logistic regression model, which firstly execute residual optimization to the Logistic regression model, and then improve its hat matrix, finally, execute optimization processing to the disturbing analysis and the influence statistics of the Logistic regression model. The instance simulation results show that the proposed influence factor analysis programme of the agricultural circulation economy development based on optimized Logistic regression model is effective.

Keywords


Logistic regression model, residual optimization, disturbing analysis, agricultural circulation economy, SPSS analysis.

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