会议专题

Study on Prediction of the Total Power of Agricultural Machinery Based on Fuzzy BP Network

  It made full use of agriculture-related data,self-learning,and prediction ability of BP neural network which is in the field of artificial intelligence is applied,and combined with fuzzy set theory,in-depth study of the related algorithm,using C++ language programming,established the agriculture machinery corresponding to the total dynamic forecasting model,digging the potential of total power of agriculture machinery in this paper.The author hopes that a reasonable forecast of the development trend of the total power of agricultural machinery in China can be realized and reasonable targets for the development of agricultural mechanization in China.

The total power of agricultural mechanization BP neural network Fuzzy set Prediction model

Hongfu Ai

The Information of Teaching and Management Center,Jilin Agricultural University,No 2888 Xin Cheng Street,Changchun,China

国际会议

The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

福州

英文

551-558

2015-05-08(万方平台首次上网日期,不代表论文的发表时间)