A Deep Learning Prediction Model for Structural Deformation Based on Temporal Convolutional Networks

• Published in: Computational intelligence and neuroscience Vol. 2021; no. 1; p. 8829639
• Main Authors: Luo, Xianglong, Gan, Wenjuan, Wang, Lixin, Chen, Yonghong, Ma, Enlin
• Format: Journal Article
• Language: English
• Published: United States Hindawi 2021; John Wiley & Sons, Inc
• Subjects: Accuracy; Algorithms; Construction; Convolution; Deep learning; Deformation; Deformation effects; Fuzzy logic; Long term memory; Markov analysis; Mathematical models; Methods; Monitoring; Monitoring systems; Neural networks; Optimization; Parameters; Prediction models; Principal components analysis; Receptive field; Regression analysis; Statistical analysis; Structural engineering; System theory; Time series

The structural engineering is subject to various subjective and objective factors, the deformation is usually inevitable, the deformation monitoring data usually are nonstationary and nonlinear, and the deformation prediction is a difficult problem in the field of structural monitoring. Aiming at th...