应用自组织人工神经网络预报黄土高原生态破坏程度的初探  

Preliminary study of ecological damage and economic loss on Loess Plateau by self-orgauization artificial neural network

作　　者：蔡煜东[1] 许伟杰[1] 

机构地区：[1]中国科学院上海冶金研究所

出　　处：《农村生态环境》1995年第2期28-31,共4页Rural Eco-Environment

摘　　要：运用三维ＴＫｏｈｏｎｅｎ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１００％。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的辅助手段。Ecological damage and its economic loss on LoessPlateau in Shaanxi have been analyzed and predicted by T. Koho-nen model of 3 diniension self-organisation artiflcial neuralnetwork.The successful rate reached 100 %。The results showedthat the performance of the neural network approach is good, and therefore it might be referred as an effective assistant technquefor eco-economic damage prediction.

关 键 词：生态经济 黄土高原 人工神经网络 破坏程度 

分 类 号：S181[农业科学—农业基础科学]