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A parallel mapping of self-organizing map (SOM) algorithm is presented for a partial tree shape neurocomputer (PARNEU). PARNEU is a general purpose parallel neurocomputer that is designed for soft computing applications. Practical scalability and a reconfigurable partial tree network are the main architectural features. The presented neuron parallel mapping of SOM with on-line learning illustrates...
Parallel mappings of Kohonen's self organizing map (SOM) and learning vector quantization (LVQ) algorithms are presented for a tree shape parallel computer system called TUTNC (Tampere University of Technology Neural Computer). The lattice of neurons in SOM is partitioned columnwise to parallel processors in a neuron parallel manner. In addition, an efficient method is presented for the neighborhood...
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