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Applications of Artificial Intelligence in Tunnelling and Underground Space Technology

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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.

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Inventory Code Barcode Call Number Location Status
1908000785EB0001365624.193 Arm aCentral Library (OPAC)Available
Detail Information
Series Title
SpringerBriefs in Applied Sciences and Technology
Call Number
624.193 Arm a
Publisher
Singapore : Springer Singapore.,
Collation
ix, 70p.:Ill
Language
English
ISBN/ISSN
978-981-16-1034-9
Classification
624.193
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Artificial intelligence--Engineering applications
Specific Detail Info
-
Statement of Responsibility
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No other version available

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