@article{1442445,
      recid = {1442445},
      author = {Zhang, Wengang. and Zhang, Yanmei. and Gu, Xin. and Wu,  Chongzhi. and Han, Liang,},
      title = {Application of soft computing, machine learning, deep  learning and optimizations in geoengineering and geoscience  /},
      publisher = {Springer,},
      address = {Singapore :},
      pages = {1 online resource (143 pages)},
      year = {2022},
      abstract = {This book summarizes the application of soft computing  techniques, machine learning approaches, deep learning  algorithms and optimization techniques in geoengineering  including tunnelling, excavation, pipelines, etc. and  geoscience including the geohazards, rock and soil  properties, etc. The book features state-of-the-art studies  on use of SC, ML, DL and optimizations in Geoengineering  and Geoscience. Considering these points and understanding,  this book will be compiled with highly focussed chapters  that will discuss the application of SC, ML, DL and  optimizations in Geoengineering and Geoscience. Target  audience: (1) Students of UG, PG, and Research Scholars:  Several applications of SC, ML, DL and optimizations in  Geoengineering and Geoscience can help students to enhance  their knowledge in this domain. (2) Industry Personnel and  Practitioner: Practitioners from different fields can be  able to implement standard and advanced SC, ML, DL and  optimizations for solving critical problems of civil  engineering.},
      url = {http://library.usi.edu/record/1442445},
      doi = {https://doi.org/10.1007/978-981-16-6835-7},
}