A Comparative Study of a Fully-Connected Artificial Neural Network and a Convolutional Neural Network in Predicting Bridge Maintenance Costs

A Comparative Study of a Fully-Connected Artificial Neural Network and a Convolutional Neural Network in Predicting Bridge Maintenance Costs

The cost assessment of bridge maintenance is a difficult topic to study, but it is critical for a bridge life cycle cost analysis. The maintenance costs sample database was established in this study according to actual engineering data, and a bridge maintenance cost prediction model was developed us...

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Bibliographic Details
Main Authors: Chongjiao Wang, Changrong Yao, Siguang Zhao, Shida Zhao, Yadong Li
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
bridge engineering
bridge maintenance cost
fully-connected ANN
CNN
Bayesian optimization
deep learning
Online Access:https://www.mdpi.com/2076-3417/12/7/3595

Internet

https://www.mdpi.com/2076-3417/12/7/3595

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