ANN Prediction Model of Concrete Fatigue Life Based on GRW-DBA Data Augmentation

• Published in: Applied sciences Vol. 13; no. 2; p. 1227
• Main Authors: Shi, Jinna, Zhang, Wenxiu, Zhao, Yanru
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2023
• Subjects: Accuracy; Algorithms; artificial neural network; Civil engineering; Concrete; Data augmentation; Datasets; Fatigue life; Generative adversarial networks; Graphical user interface; Life prediction; Materials fatigue; Methods; Neural networks; Prediction models; predictive model; Regression analysis; small datasets; Support vector machines

In order to improve the prediction accuracy of the machine learning model for concrete fatigue life using small datasets, a group calculation and random weight dynamic time warping barycentric averaging (GRW-DBA) data augmentation method is proposed. First, 27 sets of real experimental data were aug...