Field theory of self-organizing neural nets

作者: Shun-Ichi Amari

DOI: 10.1109/TSMC.1983.6313068

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摘要: A field theory is proposed as a mathematical method for analyzing learning and self-organizing nerve nets systems in unified manner. It shown by the use of that net has an ability automatically forming categorizers or signal detecting cells signals which receives from its environment. Moreover, when set topological structure, detectors are arranged system (or field) to preserve topology, so topographical structure introduced self-organization.

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