A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification
Sign Up to like & getrecommendations! Published in 2019 at "Metabolomics"
DOI: 10.1007/s11306-019-1612-4
Abstract: Metabolomics is increasingly being used in the clinical setting for disease diagnosis, prognosis and risk prediction. Machine learning algorithms are particularly important in the construction of multivariate metabolite prediction. Historically, partial least squares (PLS) regression… read more here.
Keywords: machine; metabolomics data; machine learning; generalised predictive ... See more keywords
Fuzzy generalised predictive control for a fractional-order nonlinear hydro-turbine regulating system
Sign Up to like & getrecommendations! Published in 2018 at "Iet Renewable Power Generation"
DOI: 10.1049/iet-rpg.2018.5270
Abstract: This study focuses on a fuzzy generalised predictive control method for a fractional-order hydro-turbine regulating system (HTRS). Based on the Grunwald-Letnikov (G-L) definition of fractional calculus and discretisation, the fractional-order hydraulic servo system is transformed… read more here.
Keywords: fuzzy generalised; order; fractional order; generalised predictive ... See more keywords