Prediction of building damage induced by tunnelling through an optimized artificial neural network
Saved in:
| Main Authors: | Moosazadeh, S., Namazi, E., Aghababaei, H., Marto, A., Mohamad, H., Hajihassani, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.25090 / |
| Published: |
Springer London
2019
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047161551&doi=10.1007%2fs00366-018-0615-5&partnerID=40&md5=4e9c58609aa02661f6811a269626fd58 http://eprints.utp.edu.my/25090/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction of building damage induced by tunnelling through an optimized artificial neural network
by: Moosazadeh, S., et al.
Published: (2019) -
Prediction of building damage induced by tunnelling through an optimized artificial neural network
by: Moosazadeh, S., et al.
Published: (2018) -
3D prediction of tunneling-induced ground movements based on a hybrid ANN and empirical methods
by: Hajihassani, M., et al.
Published: (2019) -
3D prediction of tunneling-induced ground movements based on a hybrid ANN and empirical methods
by: Hajihassani, M., et al.
Published: (2020) -
Investigation on the mechanics of precast segment tunnel lining
by: Jusoh, S.N., et al.
Published: (2016)