Probabilistic partition of unity networks for high‐dimensional regression problems
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.7207
Abstract: We explore the probabilistic partition of unity network (PPOU‐Net) model in the context of high‐dimensional regression problems and propose a general framework focusing on adaptive dimensionality reduction. With the proposed framework, the target function is… read more here.
Keywords: regression problems; probabilistic partition; dimensional regression; partition unity ... See more keywords
Application of a new accelerated algorithm to regression problems
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DOI: 10.1007/s00500-019-03984-7
Abstract: Many iterative algorithms like Picard, Mann, Ishikawa are very useful to solve fixed point problems of nonlinear operators in real Hilbert spaces. The recent trend is to enhance their convergence rate abruptly by using inertial… read more here.
Keywords: regression; application new; accelerated algorithm; new accelerated ... See more keywords
An RBF neural network based on improved black widow optimization algorithm for classification and regression problems
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2022.1103295
Abstract: Introduction Regression and classification are two of the most fundamental and significant areas of machine learning. Methods In this paper, a radial basis function neural network (RBFNN) based on an improved black widow optimization algorithm… read more here.
Keywords: regression problems; neural network; regression; classification ... See more keywords