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Classification of the Images of Gene Expression Patterns Using Neural Networks Based on Multi-valued Neurons

  • Igor Aizenberg
  • Ekaterina Myasnikova
  • Maria Samsonova
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2085)

Abstract

Multi-valued neurons (MVN) are the neural processing elements with complex-valued weights and high functionality. It is possible to implement an arbitrary mapping described by partial-defined multiple-valued function on the single MVN. The MVN-based neural networks are applied to temporal classification of images of gene expression patterns, obtained by confocal scanning microscopy.

Keywords

Neural Network Gene Expression Pattern Image Recognition Cellular Neural Network Discriminant Function Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Igor Aizenberg
    • 1
  • Ekaterina Myasnikova
    • 2
  • Maria Samsonova
    • 2
  1. 1.Neural Networks Technologies (NNT) Ltd.Ramat-GanIsrael
  2. 2.Institute of High Performance Computing and Data BasesSt.PetersburgRussia

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