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

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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Bibliographic Details
Main Authors: Ahmed Ramadan Suleiman, Moncef L. Nehdi
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Materials
Subjects:
autogenous
self-healing
crack width
artificial neural network
genetic algorithm
Online Access:http://www.mdpi.com/1996-1944/10/2/135

Internet

http://www.mdpi.com/1996-1944/10/2/135

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