Application of the combination of genetic algorithm and artificial neural network on crop yield estimation in Jilin Province
人工神经网络与遗传算法相结合在作物估产中的应用——以吉林省玉米估产为例

Based upon the combination of Genetic Algorithm and BP Neural Network,the estimation of maize yield in Lishu and Dehui County, Jilin Province was estimated in this paper The new approach was compared with BP Neural Network as well as Gray Model Theory The results indicate that the prediction values approximate to the real maize yield and are more accurate than BP network and gray model theory