Critical heat flux prediction by using radial basis function and multilayer perceptron neural networks: a comparison study
Critical heat flux (CHF) is an important parameter for the design of nuclear reactors.
Although many experimental and theoretical researches have been performed, there is not a
single correlation to predict CHF because it is influenced by many parameters. These
parameters are based on fixed inlet, local and fixed outlet conditions. Artificial neural
networks (ANNs) have been applied to a wide variety of different areas such as prediction,
approximation, modeling and classification. In this study, two types of neural networks, radial …
Although many experimental and theoretical researches have been performed, there is not a
single correlation to predict CHF because it is influenced by many parameters. These
parameters are based on fixed inlet, local and fixed outlet conditions. Artificial neural
networks (ANNs) have been applied to a wide variety of different areas such as prediction,
approximation, modeling and classification. In this study, two types of neural networks, radial …
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