| 期刊全称 | Applications of Artificial Intelligence in Tunnelling and Underground Space Technology | | 影响因子2023 | Danial Jahed Armaghani,Aydin Azizi | | 视频video | | | 发行地址 | Presents statistical and intelligent computational techniques to calculate the performance of tunnel boring machine (TBM).Includes a review of available TBM performance predictive models in detail.Int | | 学科分类 | SpringerBriefs in Applied Sciences and Technology | | 图书封面 |  | | 影响因子 | .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. . | | Pindex | Book 2021 |
The information of publication is updating
|
|
发表于 2025-3-21 19:10:03
