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本文介绍了一种基于BP神经网络的岩性自动识别系统及其实现方法。实践表明,其识别率高,效果令人满意。同时,本文对学习的样本数量进行了研究,提出了基于误差控制的学习样本确定方法。
This paper introduces a lithological automatic identification system based on BP neural network and its implementation. Practice shows that its recognition rate is high, the effect is satisfactory. At the same time, this paper studied the number of learning samples and proposed a method to determine the learning samples based on error control.