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Tunneling Performance Prediction with ANN by abdallah is a document available to read on EtoBox.

This document presents a method for using artificial neural networks (ANNs) and finite element analysis to predict tunneling performance. The key aspects of the proposed approach are: 1) Develop a database of tunneling performance results using calibrated finite element models for a particular tunneling site. 2) Train ANNs using the finite element model database to establish relationships between tunneling conditions and performance metrics. 3) Deploy the trained ANNs to make predictions for the entire

Author
abdallah
Language
EN