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On modifications of Kohonen's feature map algorithm for an efficient parallel implementation

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3 Author(s)
Vassilas, N. ; NCSR Demokritos, Greece ; Thiran, P. ; Tenne, P.

Two new variants of Kohonen's self-organizing feature maps based on batch processing are presented in this work. The purpose is to make available a finer grain of parallelism to be used in massively parallel systems. Ordering and convergence to asymptotic values for 1-D maps and 1-D continuous input and weight spaces are proved for both variants. Simulation on uniform 2-D data using 1-D and 2-D maps as well as simulations on 12-D speech data using 2-D maps are also presented to back the theoretical results

Published in:

Neural Networks, 1996., IEEE International Conference on  (Volume:2 )

Date of Conference:

3-6 Jun 1996

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