摘要
砂岩型铀矿床中的铀因衰变会产生放射性元素,在其迁移过程中通常会产生水平移动的现象。根据这种现象,预测矿体埋深与异常半极值宽度及异常峰间距存在隐式函数关系。引入人工神经网络表征此函数关系,并利用已知矿体对未知矿体埋深进行预测,取得一定效果。
The radioelements decayed from uranium in sandstone-type uranium deposits usually move towards a horizontal direction in the process of migration. The phenomenon is analyzed. It can be estimated that there is a relationship between the depth of uranium ore body and the half space of abnormal width and the space of two abnormal peaks. The neural network method was used to depicting the relationship and forecasting the depth of sandstone-type uranium orebodies. The result is satisfied.
出处
《铀矿冶》
CAS
2009年第1期18-21,共4页
Uranium Mining and Metallurgy
基金
国防基础科研资助(A3420060145)
关键词
砂岩型铀矿
神经网络
埋深预测
sandstone-type uranium deposit
neural network method
depth forecast
