Tunnel Geology Prediction Using a Neural Network Based on Instrumented Drilling Test

Tunnel Geology Prediction Using a Neural Network Based on Instrumented Drilling Test

Reliable geology prediction is of great importance in ensuring the stability and safety of tunnels and other underground engineering projects. This paper presents basic neural network and deep neural network models using a genetic algorithm (GA) to predict geological conditions for tunneling. Batch...

Full description

Bibliographic Details
Main Authors: Yuwei Fang, Zhenjun Wu, Qian Sheng, Hua Tang, Dongcai Liang
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
tunnel
geology prediction
neural network
instrumented drilling
drilling parameters
genetic algorithm
Online Access:https://www.mdpi.com/2076-3417/11/1/217

Internet

https://www.mdpi.com/2076-3417/11/1/217

Similar Items