Compressive Strength Prediction of Rubber Concrete Based on Artificial Neural Network Model with Hybrid Particle Swarm Optimization Algorithm

Compressive Strength Prediction of Rubber Concrete Based on Artificial Neural Network Model with Hybrid Particle Swarm Optimization Algorithm

Conventional neural networks tend to fall into local extremum on large datasets, while the research on the strength of rubber concrete using intelligent algorithms to optimize artificial neural networks is limited. Therefore, to improve the prediction accuracy of rubber concrete strength, an artific...

Full description

Bibliographic Details
Main Authors: Xiao-Yu Huang, Ke-Yang Wu, Shuai Wang, Tong Lu, Ying-Fa Lu, Wei-Chao Deng, Hou-Min Li
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Materials
Subjects:
compressive strength
ANN
concrete
prediction
algorithm
Online Access:https://www.mdpi.com/1996-1944/15/11/3934

Similar Items

Similar Items