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Visual Sensitivity Analysis for Artificial Neural Networks

  • Roberto Therón
  • Juan Francisco De Paz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4224)

Abstract

A challenge in ANN research is how to reduce the number of inputs to the model in high dimensional problems, so it can be efficiently applied. The ANNs black-box operation makes not possible to explain the relationships between features and inputs. Some numerical methods, such as sensitivity analysis, try to fight this problem. In this paper, we combine a sensitivity analysis with a linked multi-dimensional visualization that takes advantage of user interaction, providing and efficient way to analyze and asses both the dimension reduction results and the ANN behavior.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Roberto Therón
    • 1
  • Juan Francisco De Paz
    • 1
  1. 1.Departamento de Informática y AutomáticaFacultad de Ciencias – Universidad de SalamancaSalamancaSpain

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