Parallel-hierarchical network learning methods and their application to pattern recognition |
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| Authors: | L. I. Timchenko V. V. Melnikov N. I. Kokryatskaya |
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| Affiliation: | (1) Centre for Language Technology, Macquarie University, Sydney,;(2) Intelligent Interactive Technology Group, CSIRO, Sydney, |
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| Abstract: | This paper considers provisions necessary for developing parallel-hierarchical network learning methods underlain by the idea of population coding in an artificial neural network and its approximation to natural neural networks. Mathematical parallel-hierarchical network learning models and a combined parallel-hierarchical network learning method are developed for recognizing static and dynamic patterns. |
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