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自组织人工神经网络在多金属成矿预测中的应用
THE APPLICATION OF ARTIEICIAL NEURAL NETWORK TO THE PROGNOSIS OF POLYMETALLIC DEPOSITS
【摘要】 本文运用TKohonen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。
【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 qulte satisfaotory and hence might serve as an effective technique fot prognosis of polymetallic deposits.
【关键词】 多金属成矿预测;
人工神经网络;
TKohonen自组织模型;
【Key words】 prognsois of polymetallic deposit; self-organizing artificial neural network; T. Kohonen model;
【Key words】 prognsois of polymetallic deposit; self-organizing artificial neural network; T. Kohonen model;
- 【文献出处】 矿床地质 ,MINERAL DEPOSITS , 编辑部邮箱 ,1994年02期
- 【分类号】P612
- 【被引频次】10
- 【下载频次】151