Classification of the images of gene expression patterns using neural networks based on multi-valued neurons

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. © Springer-Verlag Berlin Heidelberg 2001.