自组织人工神经网络在多金属成矿预测中的应用
    点此下载全文
引用本文：.1994.The application of artificial neural network to the prognosis of polymetallic deposits[J].Mineral Deposits,13(2):181~185
Hits: 1662
Download times: 1426
Author NameAffiliation
蔡煜东，杨兵，孙虹 中国科学院冶金研究所 
中文摘要:本文运用T Kohonen自组织人工神经网络，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。
中文关键词:多金属成矿预测  人工神经网络  T Kohonen自组织模型
 
The application of artificial neural network to the prognosis of polymetallic deposits
Abstract:The T. Kohonen model, one of the typical artificial neural network, Was applied to the prognosis of 44 gossans in southeastern Hubei, with the rate of Success reaching 100％. The results show that the neural network approach is quite satisfactory and hence might serve as an effective technique for prognosis of polymetallic deposits.
keywords:prognsois of polymetallie deposit, self-organizing artificial neural network, T. Kohonen model
View Full Text  View/Add Comment  Download reader
You are a visitor6393809  Beijing ICP for 05032737-5  Beijing 110102004559 male may be prepared
The Competent Units：中国科学技术协会 The Organizer ：中国地质学会矿床地质专业委员会 中国地质科学院矿产资源研究所
Address: 北京市百万庄大街26号 Zip Code ：100037 The Phone ：010-68327284;010-68999546 E-mail： minerald@vip.163.com
本系统由北京勤云科技发展有限公司设计 
手机扫一扫