Support Vector Machines and Multilayer Perceptron Networks Used to Evaluate the Cyanotoxins Presence from Experimental Cyanobacteria Concentrations in the Trasona Reservoir (Northern Spain)

Support vector machines and neural networks used to evaluate paper manufactured using Eucalyptus globulus

(2012) P.J. García Nieto et al.   APPLIED MATHEMATICAL MODELLING

Application of an SVM-based regression model to the air quality study at local scale in the Avilés urban area (Spain)

(2011) A. Suárez Sánchez et al.   MATHEMATICAL AND COMPUTER MODELLING

Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques

(2010) C.L. Wu et al.   JOURNAL OF HYDROLOGY

Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model

(2010) F.J. de Cos Juez et al.   MATHEMATICAL AND COMPUTER MODELLING

Modelling total volume of dominant pine trees in reforestations via multivariate analysis and artificial neural network models

(2009) Maria J. Diamantopoulou et al.   BIOSYSTEMS ENGINEERING

Culture-independent evidence for the persistent presence and genetic diversity of microcystin-producingAnabaena(Cyanobacteria) in the Gulf of Finland

(2008) David P. Fewer et al.   ENVIRONMENTAL MICROBIOLOGY

Elucidating the factors influencing the biodegradation of cylindrospermopsin in drinking water sources

(2008) Maree J. Smith et al.   ENVIRONMENTAL TOXICOLOGY