Chapter 10 - Machine learning in heat transfer

Abstract

This chapter introduces the application of machine learning in heat transfer. We discuss the distinction between physics and data-based models and the importance of the latter in heat transfer engineering. We then give an overview of various types of algorithms within machine learning. This is followed by a detailed description of the supervised learning process. This process is then applied to two learning algorithms—linear regression and artificial neural networks. A detailed discussion of neural networks is presented next, along with some sample problems. We follow this with a discussion on practical considerations in the application of neural networks to engineering heat transfer. We end with a description of some modern techniques and the current and future applications of machine learning in engineering heat transfer.