基于GSA-RVM的农产品价格指数拟合模型  

A Fitting Model of the Price Index of Agricultural ProductsBased on GSA-RVM

作　　者：查进道[1] ZHA Jindao

机构地区：[1]江苏经贸职业技术学院,江苏南京211168

出　　处：《智慧农业导刊》2022年第1期9-12,共4页JOURNAL OF SMART AGRICULTURE

摘　　要：农产品价格直接影响人民的生活水平,研究农产品价格的内在规律和做好农产品价格的预测具有重要意义。文章基于引力搜索算法和相关向量机理论建立了农产品价格指数拟合模型。仿真结果表明,该方法是有效的。The price of agricultural products has a direct impact on people's living standards,so it is of great significance to study the inherent law of the price of agricultural products and to predict the prices of agricultural products.Based on Gravitational Search Algorithm(GSA)and Relevance Vector Machine(RVM),this paper establishes a fitting model of the price index of agricultural products.The simulation results show that the model is effective.

关 键 词：价格指数 引力搜索算法 相关向量机 径向基核函数 

分 类 号：F323[经济管理—产业经济]