Login / Signup

A new predictive model for the cyanotoxin content from experimental cyanobacteria concentrations in a reservoir based on the ABC optimized support vector machine approach: A case study in Northern Spain.

P. J. García NietoJosé Ramón Alonso FernándezEsperanza García GonzaloCristina Díaz MuñizRicardo Mayo BayónVíctor M. González Suárez
Published in: Ecol. Informatics (2015)
Keyphrases
  • predictive model
  • support vector machine
  • neural network
  • metadata
  • multi class
  • machine learning
  • feature selection
  • training data
  • data sets
  • real world
  • support vector
  • naive bayes
  • prediction model