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

Authors:
Igor N. Aizenberg;Ekaterina Myasnikova;Maria Samsonova;John Reinitz
Affiliations:
-;-;-;-
Venue:
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Year:
2001

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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. The classification results confirmed the efficiency of this method for image recognition. It was shown that frequency domain of the representation of images is highly effective for their description.