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Speculation on graph computation architectures and computing via synchronization
A speculative overview of a future topic of research. The paper is a col...
04/22/2004 ∙ by Bayle Shanks, et al. ∙
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Self-Organizing Multilayered Neural Networks of Optimal Complexity
The principles of self-organizing the neural networks of optimal complex...
04/13/2005 ∙ by V. Schetinin, et al. ∙
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Laser Actuated Presentation System
We present here a pattern sensitive PowerPoint presentation scheme. The ...
11/28/2009 ∙ by Atul Chowdhary, et al. ∙
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Building a Chaotic Proved Neural Network
Chaotic neural networks have received a great deal of attention these la...
01/23/2011 ∙ by Jacques M. Bahi, et al. ∙
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Beyond the storage capacity: data driven satisfiability transition
Data structure has a dramatic impact on the properties of neural network...
05/20/2020 ∙ by Pietro Rotondo, et al. ∙
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Quaternion-Valued Recurrent Projection Neural Networks on Unit Quaternions
Hypercomplex-valued neural networks, including quaternion-valued neural ...
01/30/2020 ∙ by Marcos Eduardo Valle, et al. ∙
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Hide-and-Seek: A Template for Explainable AI
Lack of transparency has been the Achilles heal of Neural Networks and t...
04/30/2020 ∙ by Thanos Tagaris, et al. ∙
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Parametrical Neural Networks and Some Other Similar Architectures
08/18/2006 ∙ by Leonid B. Litinskii, et al. ∙
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A review of works on associative neural networks accomplished during last four years in the Institute of Optical Neural Technologies RAS is given. The presentation is based on description of parametrical neural networks (PNN). For today PNN have record recognizing characteristics (storage capacity, noise immunity and speed of operation). Presentation of basic ideas and principles is accentuated.
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