Regression Model for Antenna Design
摘要
In this chapter, mathematical foundations on various regression algorithms, namely (a) Linear basis regression, (b) Bayesian regression technique, (c) Gaussian smoothing, (d) Gaussian process, are summarized, which can be utilized to establish the data-driven model between the identified input and the output random variables in the antenna design.