Prediction of concrete fatigue durability using Bayesian neural networks
Keywords:
Bayesian neural networks, concrete fatigue durability, predictionAbstract
The utility of Bayesian neural networks to predict concrete fatigue durability as a function of concrete mechanical parameters of a specimen and characteristics of the loading cycle is investigated. Bayesian approach to learning neural networks allows automatic control of the complexity of the non-linear model, calculation of error bars and automatic determination of the relevance of various input variables. Comparative results on experimental data set show that Bayesian neural network works well.
References
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