Finite Gaussian Mixture Model Based Multimodeling for Nonlinear Distributed Parameter Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2923917
Abstract: Complex nonlinear distributed parameter systems (DPSs) widely exist in real industrial thermal processes. Modeling of such systems often leads to the following challenges: strong nonlinearities, time-varying dynamics, and large operating range with multiple working points.… read more here.
Keywords: nonlinear distributed; finite gaussian; model; parameter systems ... See more keywords
Semi-Parametric Estimation Using Bernstein Polynomial and a Finite Gaussian Mixture Model
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24030315
Abstract: The central focus of this paper is upon the alleviation of the boundary problem when the probability density function has a bounded support. Mixtures of beta densities have led to different methods of density estimation… read more here.
Keywords: using bernstein; finite gaussian; mixture model; gaussian mixture ... See more keywords