Hierarchical classifier: Based on neural networks searching tree with iterative traversal and stop criterion

Authors:
V. Kryzhanovsky;M. Malsagov;J. A. Tomas
Affiliations:
Center of Optical Neural Technologies of Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia;Center of Optical Neural Technologies of Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia;Institute of Secondary Education: IES SANJE, Alcantarilla, Murcia, Spain
Venue:
Optical Memory and Neural Networks
Year:
2013

Citing 2
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Abstract

The paper offers an algorithm that extends the binary tree search algorithm so that it can deal with distorted input vectors. Perceptrons are the tree nodes. The algorithm features an iterative solution search and stopping criterion.