| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6904778 | Applied Soft Computing | 2016 | 9 Pages |
Abstract
- Neural network is trained to predict the compressive strength of composites from experimental variables.
- Input variables are optimized to maximize compressive strength, by genetic algorithm.
- Experimental constraints are considered during optimization.
- The consistency of the analysis is verified by laboratory experiments.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
H. Vafaeenezhad, S.R. Asadolahpour, N. Nayebpashaee, S.H. Seyedein, M.R. Aboutalebi,