Hybrid modelling based on support vector regression with genetic algorithms in forecasting the cyanotoxins presence in the Trasona reservoir (Northern Spain)
Keywords: رگرسیون بردار پشتیبانی (SVR); Statistical machine learning techniques; Cyanobacteria; Cyanotoxins; Genetic algorithms (GAs); Support vector regression (SVR)