农业经济与污染治理的协调度预测模型研究

Prediction Model Analysis of Coordination Degree between Agricultural Economy and Pollution Control

为解决协调度预测模型分析精度等级低、正确度差的问题,提出一种基于灰色系统预测法的协调度预测模型。首先设定农业经济与污染治理的指标体系,对获取指标数据标准化处理,运用协同理论计算衡量协调度,依托农业经济与污染治理之间的灰色特性,假设初始协调度序列,计算得到原始数列预测值,检验模型精度等级优,实现协调度预测模型构建。对比实验结果表明:构建的农业经济与污染治理协调度预测模型较传统预测模型,正确度提高15.29%,适合对农业经济与污染治理的协调度进行分析研究。

In order to solve the problems of low accuracy and poor accuracy,a prediction model of coordination degree based on grey system prediction method is proposed.Firstly,the index system of agricultural economy and pollution control was set up,the acquired index data were standardized,and the coordination degree was calculated and measured by using the coordination theory.Based on the gray characteristics between agricultural economy and pollution control,the initial coordination degree sequence was assumed,the predicted value of the original sequence was calculated,and the coordination degree prediction model was built.The results show that the accuracy of the proposed model is 15.29%higher than that of the traditional model,which is suitable for the analysis and research of the coordination degree between agricultural economy and pollution control.