Intelligent identification method for drilling conditions based on artificial neural networks.

Abstract

Authors

• Wei Li
  Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
• Yuan Yang
  The Ministry of Education Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Northwestern Polytechnical University, No. 127, Youyi Road (West), Xi'an 710072, China.
• Donglin Fan
  College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, 541006, China; Ecological Spatiotemporal Big Data Perception Service Laboratory, Guilin University of Technology, Guilin, 541006, China. Electronic address: [email protected].
• Yuxing Zhou
  Central Research Institute, United Imaging Healthcare, Co., Ltd., Beijing 100094, China. Electronic address: [email protected].

Keywords

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