A Novel Neural Network for Generally Constrained Variational Inequalities
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2016.2570257
Abstract: This paper presents a novel neural network for solving generally constrained variational inequality problems by constructing a system of double projection equations. By defining proper convex energy functions, the proposed neural network is proved to… read more here.
Keywords: constrained variational; network; proposed neural; generally constrained ... See more keywords
A Projection Neural Network for the Generalized Lasso
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2927282
Abstract: The generalized lasso (GLasso) is an extension of the lasso regression in which there is an $l_{1}$ penalty term (or regularization) of the linearly transformed coefficient vector. Finding the optimal solution of GLasso is not… read more here.
Keywords: neural network; network generalized; generalized lasso; proposed neural ... See more keywords