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本文阐述了基于神经网络的矿床品位估值的基本原理和方法，并结合某锰矿的地质勘探数据，采用神经网络技术模拟矿床中矿石品位空间变化及分布规律的实例，说明了该方法的应用。
In this paper, the basic principle and method of grade estimation based on neural network are described. Combined with the geological prospecting data of a manganese ore, the application of this method is illustrated by using the neural network technology to simulate the spatial variation and distribution of ore grade in ore deposits.