Echo state network optimization using binary grey wolf algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.069
Abstract: Abstract The echo state network (ESN) is a powerful recurrent neural network for time series modelling. ESN inherits the simplified structure and relatively straightforward training process of conventional neural networks, and shows strong computational capabilities… read more here.
Keywords: network; grey wolf; binary grey; state network ... See more keywords
Optimal residence energy management with time and device-based preferences using an enhanced binary grey wolf optimization algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Sustainable Energy Technologies and Assessments"
DOI: 10.1016/j.seta.2020.100798
Abstract: Abstract In residential energy management (REM), time of use (TOU) of appliances scheduling based on user-defined preferences is an essential task performed by the home energy management controller. This paper devised a robust REM technique… read more here.
Keywords: satisfaction; energy; time; energy management ... See more keywords
A novel hybrid feature selection method combining binary grey wolf optimization and cuckoo search.
Sign Up to like & getrecommendations! Published in 2025 at "Scientific reports"
DOI: 10.1038/s41598-025-29018-x
Abstract: The increasing availability of high-dimensional data in modern applications poses serious challenges for machine learning models, including excessive computation, high memory demand, and degraded accuracy caused by redundant or irrelevant features. This paper introduces a… read more here.
Keywords: wolf optimization; cuckoo search; search; binary grey ... See more keywords