Concrete compressive strength using artificial neural networks

2019/12/10 by Panagiotis G. Asteris, Vaseilios G. Mokos · 1 citation
Engineering · #Infrastructure Maintenance and Monitoring #Non-Destructive Testing Techniques #Ultrasonics and Acoustic Wave Propagation

paper · doi:10.1007/s00521-019-04663-2

openalex publication_date 2019/12/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Citations

• Forecasting with artificial neural networks:
• The perceptron: A probabilistic model for information storage and organization in the brain.
• Deep Learning in Neural Networks: An Overview
• Gradient-based learning applied to document recognition
• A Fast Learning Algorithm for Deep Belief Nets
• Multilayer feedforward networks are universal approximators

Cited by

• Advancing non-destructive concrete compressive strength estimation: Large-Scale datasets and machine learning framework