自组织人工神经网络在多金属成矿预测中的应用
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引用本文：.1994.The application of artificial neural network to the prognosis of polymetallic deposits[J].Mineral Deposits,13(2):181~185
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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
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