%0 Journal Article %1 journals/corr/abs-2206-09606 %A Chen, Yuntian %A Zhang, Dongxiao %A Zhao, Qun %A Liu, Dexun %D 2022 %J CoRR %K dblp %T Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development. %U http://dblp.uni-trier.de/db/journals/corr/corr2206.html#abs-2206-09606 %V abs/2206.09606

@article{journals/corr/abs-2206-09606, added-at = {2022-06-27T00:00:00.000+0200}, author = {Chen, Yuntian and Zhang, Dongxiao and Zhao, Qun and Liu, Dexun}, biburl = {https://www.bibsonomy.org/bibtex/2134c6cf0ee6caf4ed6d0eeaae0cbe043/dblp}, ee = {https://doi.org/10.48550/arXiv.2206.09606}, interhash = {7b4cc3ca09c7e45abc26a6f7cc0906ae}, intrahash = {134c6cf0ee6caf4ed6d0eeaae0cbe043}, journal = {CoRR}, keywords = {dblp}, timestamp = {2024-04-08T21:59:50.000+0200}, title = {Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr2206.html#abs-2206-09606}, volume = {abs/2206.09606}, year = 2022 }