Applications of Artificial Intelligence in Tunnelling and Underground Space Technology: Empirical, Statistical and Intelligent Techniques for TBM Performance Prediction. Chapter 3. Developing Statistical Models for Solving Tunnel Boring Machine Performance Problem
| Author | : Danial Jahed Armaghani |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| ISBN-10 | : 9811610355 |
| ISBN-13 | : 9789811610356 |
| Rating | : 4/5 (356 Downloads) |
Download or read book Applications of Artificial Intelligence in Tunnelling and Underground Space Technology: Empirical, Statistical and Intelligent Techniques for TBM Performance Prediction. Chapter 3. Developing Statistical Models for Solving Tunnel Boring Machine Performance Problem written by Danial Jahed Armaghani and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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