Contextual modeling using context-dependent feedforward neural nets

  • Authors:

  • Piotr Ciskowski

  • Affiliations:

  • Institute of Engineering Cybernetics, Wrocł University of Technology, Wrocł, Poland

  • Venue:
  • CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
  • Year:
  • 2003

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Abstract

The paper addresses the problem of using contextual information by neural nets solving problems of contextual nature. The models of a context-dependent neuron and a multi-layer net are recalled and supplemented by the analysis of context-dependent and hybrid nets' architecture. The context-dependent nets' properties are discussed and compared with the properties of traditional nets considering the Vapnik-Chervonenkis dimension, contextual classification and solving tasks of contextual nature. The possibilities of applications to classification and control problems are also outlined.