江西农业大学学报Issue(4)：887-893,7.
河南省农用地集约利用影响因素分析及实证研究--基于BP神经网络和岭回归分析
An analysis and Empirical Study on the Factors in Intensive Utilization of Agricultural Land in Henan Province---Base on BP ANN and Ridge Regression
摘要
Abstract
Measuring the level of intensive utilizationin of agricultural land ,and deeply analyzing the influ-encing factors in intensive utilizationin of agricultural landhas great significance for tapping potential of intensive use of agricultural land and ensuring food security .Based on the time-series data of Henan Province from 1978 to 2012,the index system of agricultural land use intensity was established ,the levels of agricultural land intensive utilization were calculated by using BP ANN when the index system of agricultural land use intensity of Henan Province was constructed .On this basis,the multiple regression model of agricultural land intensive utilization in Henan Province was established ,and using ridge regression the coefficients of the multiple regression model were corrected.The results showed that ,the levels of agricultural land intensive utilization in Henan Province increased gradually from 1978 to 2012.The composite index of agricultural land intensive utilization had nega-tive relationship with agricultural disaster area ,agricultural population ,per-capita area ,and had positive nega-tive correlation with effective irrigation area ,per-capita net income of farmers ,total value of farm output ,poli-cies and regulations .A unit of changes in the agricultural disaster area ,effective irrigation area ,per-capita net income of farmers,total value of farm output,agricultural population,per-capita area and policies and regula-tions caused changes in ,the composite index of agricultural land intensive utilization by 0.046 13,0.200 04, 0.202 68,0.207 38,0.024 16,0.218 55 and 0.156 65 units.关键词
农用地/集约利用/BP神经网络/岭回归Key words
agricultural land/intensive utilization/BP ANN/ridge regression分类
管理科学引用本文复制引用
孟庆香,宋文博,康凯,王杨,李青松..河南省农用地集约利用影响因素分析及实证研究--基于BP神经网络和岭回归分析[J].江西农业大学学报,2014,(4):887-893,7.基金项目
中国地质调查局项目 （）
