Application of Artificial Neural Network in Back-analyzing the Soil Parameter of Deep Excavation

Jul. 2021

Article Contents

Article Navigation > GEOTECHNICAL ENGINEERING TECHNIQUE > 2001 > 15(4): 187-189,211

Application of Artificial Neural Network in Back-analyzing the Soil Parameter of Deep Excavation[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2001, 15(4): 187-189,211.

Citation:

Application of Artificial Neural Network in Back-analyzing the Soil Parameter of Deep Excavation[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2001, 15(4): 187-189,211.

Application of Artificial Neural Network in Back-analyzing the Soil Parameter of Deep Excavation[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2001, 15(4): 187-189,211.

Citation:

Application of Artificial Neural Network in Back-analyzing the Soil Parameter of Deep Excavation[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2001, 15(4): 187-189,211.

PDF( 281 KB)

Application of Artificial Neural Network in Back-analyzing the Soil Parameter of Deep Excavation

Received Date: 2001-05-15
Available Online: 2021-07-29

Abstract

Abstract

Based on the elastic-plastic displacement back-analysis of deep excavation,the Artificial Neural Networks(ANN) is applied in the back-analysis of deep excavation and the deformation prediction is built through ANN.Its practicability is reliable by engineering case.
- deep excavation,
- Artificial Neural Network,
- displacement back-analysis,
- elastic-plastic