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Instance Selection with Neural Networks for Regression Problems

  • Mirosław Kordos
  • Marcin Blachnik
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7553)

Abstract

The paper presents algorithms for instance selection for regression problems based upon the CNN and ENN solutions known for classification tasks. A comparative experimental study is performed on several datasets using multilayer perceptrons and k-NN algorithms with different parameters and their various combinations as the method the selection is based on. Also various similarity thresholds are tested. The obtained results are evaluated taking into account the size of the resulting data set and the regression accuracy obtained with multilayer perceptron as the predictive model and the final recommendation regarding instance selection for regression tasks is presented.

Keywords

neural network instance selection regression 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Mirosław Kordos
    • 1
  • Marcin Blachnik
    • 2
  1. 1.Department of Mathematics and Computer ScienceUniversity of Bielsko-BialaBielsko-BiałaPoland
  2. 2.Department of Management and InformaticsSilesian University of TechnologyKatowicePoland

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