Litcius/Paper detail

A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition

Honggan Yu, Jianfeng Tao, Chengjin Qin, Mingyang Liu, Dengyu Xiao, Hao Sun, Chengliang Liu

2021Mechanical Systems and Signal Processing74 citationsDOI

Topics & Concepts

AutoencoderArtificial intelligenceComputer sciencePattern recognition (psychology)Classifier (UML)Convolutional neural networkExtractorFeature extractionMachine learningDeep learningEngineeringProcess engineeringTunneling and Rock MechanicsDrilling and Well EngineeringRock Mechanics and Modeling
A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition | Litcius