Applications of Artificial Intelligence in Tunnelling and Underground Space Technology (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Applied Sciences and Technology
Release date:	March 2021
First published:	2021
Authors:	Danial Jahed Armaghani • Aydin Azizi
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	70
Edition:	1st ed. 2021
ISBN-13:	978-981-16-1033-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Physics > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Earth & environment > Earth sciences > Meteorology > General
LSN:	981-16-1033-9
Barcode:	9789811610332

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