多源测井数据预测煤层工业组分和发热量模型研究

余永鹏, 张广兵, 黄自军, 闫建波, 王嘉文, 杨彦成, 毛兴军

A prediction model of the industrial components and calorific values of coal seams based on multi-source log data

YU Yong-Peng, ZHANG Guang-Bing, HUANG Zi-Jun, YAN Jian-Bo, WANG Jia-Wen, YANG Yan-Cheng, MAO Xing-Jun

表3 深度神经网络主要配置参数

Table 3 The main configuration parameters of deep neural network

预测参数 优化算法 损失函数 批大小 训练次数 Mad Adam mae 16 2000 Ad Adam mae 8 2000 Vdaf Adam mae 8 2000 FCd Adam mae 8 2000 Qgr,d Adam mae 8 2000