张淑娟,赵飞.基于Shapley值的农机总动力组合预测方法[J].农业机械学报,2008,39(5):60-64.
.[J].Transactions of the Chinese Society for Agricultural Machinery,2008,39(5):60-64.
摘要点击次数: 2765
全文下载次数: 6
基于Shapley值的农机总动力组合预测方法   [下载全文]
   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  农机总动力  Shapley值  组合预测
基金项目:
张淑娟  赵飞
山西农业大学
中文摘要:应用合作博弈中的Shapley值方法,通过分配总误差来确定组合预测模型中各预测模型的权重 ,以此构建组合预测模型并对山西省农机总动力进行组合预测。结果表明, 该组合预测模型的预测平均误差为1.81,低于选定的一元线性回归模型、三次指数平滑模型和BP神经网络模型的3.12、2.42和2.23;也低于基于方差倒数法以及基于离异系数法构建的组合预测模型的预测平均误差
Key Words:
Abstract:1.88和1.90。

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

   下载PDF阅读器