In this paper, a hybrid electricity price forecasting method which is composed of two-stage feature selection method and optimized adaptive neuro-fuzzy inference system (ANFIS) technique as a forecasting engine is proposed to accurately forecast electricity price.A multi-objective feature selection approach comprises of multi-objective binary-value
Post-stroke Depression Increases Disability More Than 15% in Ischemic Stroke Survivors: A Case-Control Study
We performed a retrospective, case-control study in consecutive ischemic stroke patients admitted to our stroke rehabilitation unit.Patients were matched for severity of neurological impairment (evaluated with the Canadian Neurological Scale, CNS), age (difference within 1 year), and onset admission interval (difference within 3 days).Participants
Identifying the parameters of photovoltaic cells using Gaussian bare-bone imperialist competitive algorithm with opposition-based learning mechanism
Extracting the precise parameters of Wipes photovoltaic (PV) cells has become very important for simulation, evaluation, control, and optimization of PV systems.However, it is still a challenging task to accurately and reliably extract the parameters of PV cells.To solve this difficult problem, in this paper, a new meta-heuristic algorithm called G