A robust method based on LOVO functions for solving least squares problems
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Global Optimization"
DOI: 10.1007/s10898-020-00970-4
Abstract: The robust adjustment of nonlinear models to data is considered in this paper. When data comes from real experiments, it is possible that measurement errors cause the appearance of discrepant values, which should be ignored… read more here.
Keywords: lovo functions; method based; based lovo; solving least ... See more keywords
One-layer neural network for solving least absolute deviation problem with box and equality constraints
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.037
Abstract: Abstract This paper presents a neural network for solving least absolute deviation problems with equality and box constraints. Compared with some existing models, the proposed neural network has fewer state variables and only one-layer structure.… read more here.
Keywords: absolute deviation; network; solving least; network solving ... See more keywords