Modeling of dead time systems by support vector regression

  • R. O. Kabaoglu
  • Published 2012 in
    2012 International Symposium on Innovations in…

Abstract

Various techniques such as neural networks and fuzzy systems are widely used in modeling of dead time systems frequently encountered in engineering problems. Support vector machine, a new learning method, is a nonlinear kernel based learning machine. It was found that this method causes good results in solving the problems in the areas of modeling, system… (More)

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