农机化研究Issue(12)：56-60,65,6.
农机总动力影响因素的灰色关联分析-基于 G－P 算法
Grey Correlation Analysis on Impact Factors of Agricultural Machinery Total Power-Based on GP Algorithm
摘要
Abstract
This paper use the GP algorithm and grey correlation to quantify the impact factors of Agricultural Machinery Total Power of Heilongjiang Province .It takes the Agricultural Machinery Total Power of Heilongjiang Province as gray re-lational model output factor and GP method of research object .From four different angles of agricultural labor , land pro-duction scale, to buy farm machinery economic environment, the number of farm machinery equipment to select 14 different Agricultural Machine Power factors as input factor of Grey Relational Model .The final step will combine the em-bedding dimension of Agricultural Machine Power which is calculated by GP method with the comparative Analysis result of gray correlation method 14 factors.It is observed that there are eight main factors affecting Agricultural Mechanization development of Heilongjiang Province .Overall, the main factors are deeply analyzed and some recommendations based on the analysis results to promote the Agricultural Mechanization development .关键词
农机总动力/灰色关联分析/G-P算法/最佳嵌入维数Key words
agricultural machinery total power/grey correlation analysis/GP algorithm/the optimal embedding dimen-sion分类
农业科技引用本文复制引用
许淑芹,周桂霞,于海明,金忠波,张雪峰,秦春兰..农机总动力影响因素的灰色关联分析-基于 G－P 算法[J].农机化研究,2016,(12):56-60,65,6.基金项目
黑龙江省自然科学基金项目 （）
