%0 Journal Article
%T Prediction model of maize yield estimation based on the com-bination of genetic algorithm and artificial neural network<br>基于遗传算法与人工神经网络相结合的玉米估产研究
%A LI Zhe
%A ZHANG Jun tao
%A <br>李哲
%A 张军涛
%J 自然资源学报
%D 2000
%I 
%X 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.
%K estimation of crop yield
%K genetic algorithm
%K neural network<br>作物估产
%K 遗传算法
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=3FF3ABA7486768130C3FF830376F43B398E0C97F0FF2DD53&cid=A7CA601309F5FED03C078BCE383971DC&jid=4DCB9A3AF3395AF0101DE5302EF3C300&aid=7710D4DA087CE5305E6EF827FAF12AE8&yid=9806D0D4EAA9BED3&vid=23CCDDCD68FFCC2F&iid=38B194292C032A66&sid=B7BFA4B351E4C682&eid=6826CBE9C80ACB20&journal_id=1000-3037&journal_name=自然资源学报&referenced_num=6&reference_num=3