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010   $a981-16-1034-7
024 7 $a10.1007/978-981-16-1034-9
035   $a(CKB)4100000011797543
035   $a(DE-He213)978-981-16-1034-9
035   $a(MiAaPQ)EBC6518438
035   $a(Au-PeEL)EBL6518438
035   $a(OCoLC)1245673996
035   $a(PPN)254721303
035   $a(EXLCZ)994100000011797543
100   $a20210313d2021      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplications of Artificial Intelligence in Tunnelling and Underground Space Technology /$fby Danial Jahed Armaghani, Aydin Azizi
205   $a1st ed. 2021.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021.
215   $a1 online resource (IX, 70 p. 16 illus., 15 illus. in color.) 
225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-5318
311 08$a981-16-1033-9 
327   $aChapter 1. An Overview of Field Classifications to Evaluate Tunnel Boring Machine Performance -- Chapter 2. Empirical, Statistical and Intelligent Techniques for TBM Performance Prediction. Chapter 3. Developing Statistical Models for Solving Tunnel Boring Machine Performance Problem -- Chapter 4. A Comparative Study of Artificial Intelligence Techniques to Estimate TBM Performance in Various Weathering Zones.
330   $aThis book covers the tunnel boring machine (TBM) performance classifications, empirical models, statistical and intelligent-based techniques which have been applied and introduced by the researchers in this field. In addition, a critical review of the available TBM performance predictive models will be discussed in details. Then, this book introduces several predictive models i.e., statistical and intelligent techniques which are applicable, powerful and easy to implement, in estimating TBM performance parameters. The introduced models are accurate enough and they can be used for prediction of TBM performance in practice before designing TBMs. .
410  0$aSpringerBriefs in Applied Sciences and Technology,$x2191-5318
606   $aEngineering geology
606   $aStatistical physics
606   $aGeotechnical engineering
606   $aMathematical statistics
606   $aManufactures
606   $aEngineering mathematics
606   $aGeoengineering
606   $aStatistical Physics
606   $aGeotechnical Engineering and Applied Earth Sciences
606   $aMathematical Statistics
606   $aMachines, Tools, Processes
606   $aEngineering Mathematics
615  0$aEngineering geology.
615  0$aStatistical physics.
615  0$aGeotechnical engineering.
615  0$aMathematical statistics.
615  0$aManufactures.
615  0$aEngineering mathematics.
615 14$aGeoengineering.
615 24$aStatistical Physics.
615 24$aGeotechnical Engineering and Applied Earth Sciences.
615 24$aMathematical Statistics.
615 24$aMachines, Tools, Processes.
615 24$aEngineering Mathematics.
676   $a622.028
700   $aArmaghani$b Danial Jahed$0851320
702   $aAzizi$b Aydin
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910483423303321
996   $aApplications of artificial intelligence in tunnelling and underground space technology$91900711
997   $aUNINA