Application of rprop algorithm to well logging lithologic identification 算法在测井岩性识别中的应用
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Lithologic identification of xing anling group in sudeerte oilfield 苏德尔特油田兴安岭群岩性识别方法
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The experiment shows that self - organized characteristic map neural network is feasible for lithologic identification of logging data and has a high rate of identification 实验结果表明：自组织特征映射神经网络对测井数据进行岩性识别是可行的，而且识别率较高，是一种行之有效的岩性识别的好方法。
