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自组织学习联想神经树在多金属成矿预测中的应用
引用本文:蔡煜东,陆文聪.自组织学习联想神经树在多金属成矿预测中的应用[J].华东地质学院学报,1995,18(4):344-348.
作者姓名:蔡煜东  陆文聪
作者单位:中国科学院上海生物工程研究中心,上海大学化学系
摘    要:本文运用自组织学习联想神经树,对鄂东南地区44个铁帽进行了计算机识别,识别成功率达100%,结果表明,该方法性能良好,可望成为多金属成矿预测的一种有效的辅助手段。

关 键 词:成矿预测  神经网络  联想神经树  多金属矿床

APPLICATLON OF NEURAL TREE MODEL OF LEARNING AND ASSOCIATION BY SELF-ORGANIZANATION TO MULTIMETAL METALLOGENIC PROGHOSIS
Cai Yudong.APPLICATLON OF NEURAL TREE MODEL OF LEARNING AND ASSOCIATION BY SELF-ORGANIZANATION TO MULTIMETAL METALLOGENIC PROGHOSIS[J].Journal of East China Geological Institute,1995,18(4):344-348.
Authors:Cai Yudong
Abstract:euraltree model of learning and association by selt- organization which is one ofthe typical artificial neural network was applied to the recognition of the gossan in the southeastof Habei province. The successful rate reached 100%, The results show that the performance ofthe neural tree approach is good ,and therefore it might become an effective assistant technique formultimetal metallogenic prognosis.
Keywords:Multimetal metallogenic prognosis  Self- Organization Artificial Neural Network  Neural tree model of learning and association by self-organization
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