Application of the volume learning algorithm artificial neural networks for recognition of the type of interaction between neurons from their cross-correlation histograms

An algorithm based on two types artificial neural networks (ANNs) is proposed. The first network is an associative ANN while the second network is a Self-Organizing Map of Kohonen. The results for a test set are similar to the performance of our pre-vious expert system algorithm developed with Group...

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Bibliographic Details
Date:2005
Main Authors: Kovalishyn, V.V., Tetko, I.V.
Format: Article
Language:English
Published: Навчально-науковий комплекс "Інститут прикладного системного аналізу" НТУУ "КПІ" МОН та НАН України 2005
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Online Access:https://nasplib.isofts.kiev.ua/handle/123456789/14089
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Journal Title:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Cite this:Application of the volume learning algorithm artificial neural networks for recognition of the type of interaction between neurons from their cross-correlation histograms / V.V. Kovalishyn, I.V. Tetko // Систем. дослідж. та інформ. технології. — 2005. — № 3. — С. 48-56. — Бібліогр.: 20 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine