File:Application of Game Theory to Neuronal Networks.pdf
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DescriptionApplication of Game Theory to Neuronal Networks.pdf |
English: The paper is a theoretical investigation into the potential application of game theoretic concepts to neural networks (natural and artificial). The paper relies on basic models but the findings are more general in nature and therefore should apply to more complex environments. A major outcome of the paper is a learning algorithm based on game theory for a paired neuron system. |
Date | |
Source | https://www.hindawi.com/journals/aai/2010/521606/ |
Author | Alfons Schuster and Yoko Yamaguchi |
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This file is licensed under the Creative Commons Attribution 4.0 International license.
Attribution: Alfons Schuster and Yoko Yamaguchi
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 02:10, 15 March 2021 | 1,250 × 1,650, 13 pages (1.77 MB) | AntiCompositeNumber (talk | contribs) | better version from source | |
20:33, 27 February 2021 | No thumbnail | 0 × 0 (1.76 MB) | Feinsteinium77 (talk | contribs) | Uploaded a work by Alfons Schuster and Yoko Yamaguchi2 from https://www.hindawi.com/journals/aai/2010/521606/ with UploadWizard |
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28 August 2009
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3cf8a228ce7324cbb290ee58ccd85edaa11dc992
1,856,330 byte
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