云南普朗铜矿井孔测井资料综合应用
杨朝义1,2(
), 朱乾坤1,2, 揭绍鹏3, 孔垂爱1,2, 沙有财1,2, 钟志勇1,2, 沈啟武1,2, 陈志军2,4, 马火林2,3()
), 朱乾坤1,2, 揭绍鹏3, 孔垂爱1,2, 沙有财1,2, 钟志勇1,2, 沈啟武1,2, 陈志军2,4, 马火林2,3()
Comprehensive application of borehole log data of the Pulang copper deposit, Yunnan Province
YANG Chao-Yi1,2(), ZHU Qian-Kun1,2, JIE Shao-Peng3, KONG Chui-Ai1,2, SHA You-Cai1,2, ZHONG Zhi-Yong1,2, SHEN Qi-Wu1,2, CHEN Zhi-Jun2,4, MA Huo-Lin2,3()
), ZHU Qian-Kun1,2, JIE Shao-Peng3, KONG Chui-Ai1,2, SHA You-Cai1,2, ZHONG Zhi-Yong1,2, SHEN Qi-Wu1,2, CHEN Zhi-Jun2,4, MA Huo-Lin2,3()
图5. 卷积神经网络结构示意
Fig.5. Convolutional neural network structure schematic
