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矿产资源勘探新增储量预测研究

Study on Prediction of Newly Added Reserve by Mineral Resource Exploration

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【作者】 吴仲雄; 高清平;

【Author】 Wu Zhongxiong Gao Qingping(Guangxi University)

【机构】 广西大学; 广西大学;

【摘要】 为对勘探新增的矿产资源储量进行定量地预测,运用系统工程的理论,分析了矿产资源勘查系统,提出了用人工神经网络预测矿产资源勘探新增储量,并识别出影响矿产资源勘探新增储量的因子。编写了基于mat-lab7人工神经网络工具箱的预测程序,完成了人工神经网络的构建、训练和测试,对广西铅锌矿未来5年新增储量进行了预测。

【Abstract】 To make an appropriate prediction of the newly added mineral resource by exploration, the theory of systematic system is used to analyze the mineral resource survey system.It is suggested to use the artificial neural network to predict the newly added reserve by mineral resource exploration and the factors that affect the prediction are identified.The prediction program based on the MatLab 7 tool box of artificial neural network is compiled and the construction, training and testing of the artificial neural network are implemented, which is used to predict the newly added reserve of Guangxi lead-zinc ore in the future five years.

  • 【分类号】P624.7
  • 【被引频次】2
  • 【下载频次】163
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