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运用自组织人工神经网络预测黄土高原生态经济破坏程度
引用本文:蔡煜东,许伟杰.运用自组织人工神经网络预测黄土高原生态经济破坏程度[J].贵州科学,1994,12(2):18-23.
作者姓名:蔡煜东  许伟杰
作者单位:中国科学院上海冶金研究所 200050
摘    要:本文运用T.kobonen自组织人工神经网络,分析预测黄土高原生态经济破坏程度,预测成功率较高.结果表明,神经网络方法性能良好,可望成为生态经济破坏程度预测的有效辅助手段.

关 键 词:生态经济破坏  黄土高原  人工神经网络  T.kohonen自组织模型

FORECASTING THE WRECK DEGREES OF ECOLOGICAL ECONOMY OF LOESS PLATEAU USING SELF-ORGANIZATION ARTIFICIAL NEURAL NETWORK
Cai Yudong Xu Weijie.FORECASTING THE WRECK DEGREES OF ECOLOGICAL ECONOMY OF LOESS PLATEAU USING SELF-ORGANIZATION ARTIFICIAL NEURAL NETWORK[J].Guizhou Science,1994,12(2):18-23.
Authors:Cai Yudong Xu Weijie
Abstract:In this paper, the wreck degrees of ecological economy of Loess Plateau were forecasted using the mothed of T.Kohonen self-organization artificial neural network. The result showed that the successful proportion of this forecasting mothed was very high and it may be an effective supplementary means to forecast the destroying degree of ecological economy.
Keywords:destroy of ecological economy  Loess Plateau  Artificial neural network
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