Modeling Self-Healing of Concrete Using Hybrid Genetic Algorithm–Artificial Neural Network

This paper presents an approach to predicting the intrinsic self-healing in concrete using a hybrid genetic algorithm–artificial neural network (GA–ANN). A genetic algorithm was implemented in the network as a stochastic optimizing tool for the initial optimal weights and biases. This approach can a...

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Detalles Bibliográficos
Autores principales: Ramadan Suleiman, Ahmed, Nehdi, Moncef L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459209/
https://www.ncbi.nlm.nih.gov/pubmed/28772495
http://dx.doi.org/10.3390/ma10020135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459209/
https://www.ncbi.nlm.nih.gov/pubmed/28772495
http://dx.doi.org/10.3390/ma10020135

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