The Application of LM-BP Neural Network in the Prediction of Total Output Value of Agriculture

The Application of LM-BP Neural Network in the Prediction of Total Output Value of Agriculture

Zimin;ZHANG;Yanying;FAN;Guanping;CHEN;

【期刊名称】《亚洲农业研究：英文版》 【年(卷),期】2015(000)002

【摘要】Gross agricultural product is an important indication to measure the agricultural development level of a region. It would be affected by many factors,having the characteristics of non- linearity. For this reason,LM- BP neural network was put forward as the model and method for predicting gross agricultural product. Taking the indications of

the

sown

area

of

crop,the

output

of and

grain,sugarcane,cassava,tea,meat,aquatic products,turpentine

camellia seed,etc. as inputs,during 2000 to 2012 in Guangxi,the gross agricultural product data from the analysis of simulation experiment show that the prediction of LM- BP neural network fits well with actual results.

【总页数】4页(P.88-91)

【关键词】Total output value of agriculture;Artificial neura 【作者】Zimin;ZHANG;Yanying;FAN;Guanping;CHEN;

【作者单位】Center of Education Technology,Hezhou University;School of Computer Science and Information Engineering,Hezhou University;;;;; 【正文语种】英文