On the role of machine learning algorithms in developing MEMS components

This paper provides a review of several significant applications of machine learning tools in the development of MEMS components and devices. Four topics are covered, two represent traditional applications of artificial neural networks, drag reduction and reliability forecasting, and two are non-traditional applications, namely model reduction and MEMS based neurocomputing.