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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2017
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| Materias: | |
| 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 |