@article{1435170,
      recid = {1435170},
      author = {Armaghani, Danial Jahed, and Azizi, Aydin,},
      title = {Applications of artificial intelligence in tunnelling and  underground space technology /},
      pages = {1 online resource (78 pages)},
      abstract = {This book covers the tunnel boring machine (TBM)  performance classifications, empirical models, statistical  and intelligent-based techniques which have been applied  and introduced by the researchers in this field. In  addition, a critical review of the available TBM  performance predictive models will be discussed in details.  Then, this book introduces several predictive models i.e.,  statistical and intelligent techniques which are  applicable, powerful and easy to implement, in estimating  TBM performance parameters. The introduced models are  accurate enough and they can be used for prediction of TBM  performance in practice before designing TBMs.},
      url = {http://library.usi.edu/record/1435170},
      doi = {https://doi.org/10.1007/978-981-16-1034-9},
}