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Enhancing Tunnel Boring Machine Penetration Rate Predictions through Particle Swarm Optimization and Elman Neural Networks
Publisher: American Society of Civil Engineers
Abstract: Accurate prediction of tunnel boring machine (TBM) penetration rates is of great significance for intelligent TBM construction. Traditional empirical and theoretical models of TBM penetration rates are difficult to adapt ...
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