no code implementations • 18 Dec 2023 • Zhaozhong Yang, Liangjie Gou, Chao Min, Duo Yi, Xiaogang Li, Guoquan Wen
To tackle these problems, we propose a novel transfer learning methodology that utilizes domain adaptation and physical constraints.
no code implementations • 11 Dec 2023 • Chao Min, Guoyong Liao, Guoquan Wen, Yingjun Li, Xing Guo
To address the issues of stability and fidelity in interpretable learning, a novel interpretable methodology, ensemble interpretation, is presented in this paper which integrates multi-perspective explanation of various interpretation methods.
no code implementations • 21 Dec 2022 • Chao Min, Guoquan Wen, Liangjie Gou, Xiaogang Li, Zhaozhong Yang
Machine learning approaches are widely studied in the production prediction of CBM wells after hydraulic fracturing, but merely used in practice due to the low generalization ability and the lack of interpretability.