JOURNAL OF NATURAL RESOURCES ›› 2000, Vol. 15 ›› Issue (3): 270-274.doi: 10.11849/zrzyxb.2000.03.014

• Special Column:Celebration of the 70th Anniversary of IGSNRR, CAS • Previous Articles     Next Articles

Prediction model of maize yield estimation based on the com-bination of genetic algorithm and artificial neural network

LI Zhe, ZHANG Juntao   

  1. Institute of Geography,Chinese Academy of Sciences,Beijing 100101,China
  • Received:1999-11-23 Revised:2000-03-27 Online:2000-09-25 Published:2000-09-25

Abstract: On the basis of the combination of Genetic Algorithm and BP Neural Network,the estimation of maize yield in Lishu County,Jilin Province was predicted in this paper.The new method was compared with BP Neural Network and Gray Model Theory as well.The results indicate that the prediction values approximate to the real maize yield and are more accurate than BP network and gray model theory.

Key words: estimation of crop yield, genetic algorithm, neural network