%0 Journal Article
%T Variable conjugate gradient algorithm and its application in prediction of the total yield of main agricultural products of China
变共轭梯度算法及其在农产品总产量预测中的应用
%A YANG Mei-juan
%A CHEN Ya-jun
%A
杨梅娟
%A 陈亚军
%J 计算机应用
%D 2006
%I
%X To improve the prediction accuracy of BP network, the variable conjugate gradient (VCG) algorithm was proposed. The new approach improved BP algorithm from two aspects: activation transfer function and learning rule. Its convergence was analyzed and briefly proved. The variable conjugate gradient algorithm was applied to train a multilayer neural network to predict the total yield of main agricultural products of China, which overcame the slow rate of convergence and poor generalization capability of the traditional BP algorithm.
%K BP algorithm
%K activation transfer function
%K learning nile
%K prediction
%K conjugate gradient algorithm
BP算法
%K 激活函数
%K 学习规则
%K 预测
%K 共轭梯度算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=38D12DC900FAB21F&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=708DD6B15D2464E8&sid=FD2F08F1989887AD&eid=2855A37868816BE0&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=13