https://bxscience.enschool.org/ourpages/auto/2014/9/5/42400025/Example%209.pdf

Applications of artificial neural networks for thermal analysis of heat exchangers – A review

Neural network analysis of fin-tube refrigerating heat exchanger with limited experimental data

Applications of ANNs in flow and heat transfer problems in nuclear engineering: A review work

The use of artificial neural network (ANN), as one of the artificial intelligence methodologies, in a variety of real-world applications has been around for some time. However, the application of ANN to thermal science and engineering is still relatively new, but is receiving ever-increasing attention in recent published literature. Such attention is due essentially to special requirement and needs of the field of thermal science and engineering in terms of its increasing complexity and the recognition that it is not always feasible to deal with many critical problems in this field by the use of traditional analysis. The purpose of the present review is to point out the recent advances in ANN and its successes in dealing with a variety of important thermal problems. Some current ANN shortcomings, the development of recent advances in ANN-based hybrid analysis, and its future prospects will also be indicated.

Artificial Neural Networks (ANNs) : A New Paradigm for Thermal Science and Engineering

https://hal.archives-ouvertes.fr/hal-00573479/document

Alessandro Mazzola

Papers

Integrating artificial neural networks and empirical correlations for the prediction of water-subcooled critical heat flux

A criterion based on independent parameters for distinguishing departure from nucleate boiling and dryout in water cooled systems