Abstract:Prediction is crucial to prevent the outbreaks of algal bloom. However, due to the time-varying and nonlinear characteristics of algal bloom, which brings challenges for accurate prediction. Aiming at solving the problem, we consider both prior information and data-driven, and propose an error compensation combination prediction model based on the manifold regularized extreme learning machine fused shapelet (ECM-MRELM-FS). First, the prior information is extracted as the upward shapelet set to discover and pre… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.