摘要
运用T Kohonen自组织特征映射人工神经网络,对会泽麒麟铅锌矿进行计算机识别,识别成功率达73%。结果表明该方法性能良好,可望能成为隐伏矿定位预测的一种有效的辅助手段。
Using T Kohonen from the organization characteristic mapping artificial neural networks, carrying on the computer recognition in Huize Unicorn lead-zinc mine, the recognition success ratio reaches 73%. The result indicated this method performance is good, hoping to be able to become the underlying ore localization forecast one effective auxiliary method.
出处
《保山师专学报》
2007年第5期83-85,共3页
Journal of Baoshan Teachers' College
关键词
隐伏矿定位预测
人工神经网络
T
Kohonen自组织
underlying ore localization forecast
artificial neural networks
T Kohonen from organization
