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A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space

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3 Author(s)
Hammond, J. ; Univ. of Massachusetts Dartmouth, North Dartmouth ; MacClean, D. ; Valova, I.

Self-organizing maps can discover topological and multidimensional patterns using a variety of methods. We apply a parallel algorithm proposed by the authors (ParaSOM), which yields closer and denser approximations than other methods in a fraction of iterations, to a two-dimensional pattern in a parallel environment to demonstrate a high degree of neuron independence. In a second implementation, pieces of a two-dimensional input space are distributed over a network and processed by independent ParaSOM algorithms.

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Neural Networks, 2006. IJCNN '06. International Joint Conference on

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