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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, MBE (Joint) |
2023-11-27 14:55 |
Osaka |
Kindai Univ. (Primary: On-site, Secondary: Online) |
On stability of periodic orbits in connection recombination cellular automata Mikito Onuki, Taiji Okano, Toshimichi Saito (HU) NC2023-36 |
This paper studies connection recombination cellular automata constructed by applying global permutation connection to e... [more] |
NC2023-36 pp.14-15 |
NLP |
2009-02-28 14:00 |
Kanagawa |
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Learnming of CA rules for Digital BNN Shutaro Kabeya, Tohru Abe, Toshimichi Saito (HUHosei Univ.) NLP2008-142 |
This paper studies a GA based learning algorithm of digital binary neural networks for approximation of desired Boolean ... [more] |
NLP2008-142 pp.61-64 |
CAS, NLP |
2009-01-22 11:35 |
Miyazaki |
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Digital Spatio-Temporal Pattern Prediction by Binary Neural Networks with Evolutional Learning Tohru Abe, Toshimichi Saito (Hosei Univ.) CAS2008-70 NLP2008-100 |
This paper studies application of binary neural networks (BNN) to prediction for spatio-temporal patterns.
In the app... [more] |
CAS2008-70 NLP2008-100 pp.37-40 |
NC |
2007-11-18 14:25 |
Saga |
Saga Univ. |
Digital MLP with Binary Connection and Its Application Tohru Abe, Toshimichi Saito (HU) NC2007-59 |
This paper studies Digital Multi-Layer Perceptron (DLP) characterized by signum activation function and binary connectio... [more] |
NC2007-59 pp.25-29 |
NLP |
2007-08-07 11:10 |
Shizuoka |
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Synthesis of rule-dynamics by binary neural networks Tohru Abe, Toshimichi Saito (Hosei Univ.) NLP2007-57 |
This paper studies binary neural networks (BNNs) characterized by signum
activation function and binary connection par... [more] |
NLP2007-57 pp.25-28 |
NC |
2007-03-16 10:30 |
Tokyo |
Tamagawa University |
Learning of CA rules by Digital Multi-Layer Perceptrons Tohru Abe, Toshimichi Saito (HU) |
This paper studies learning of Binary Neural Networks (BNNs) that is a simplified version of Multi-Layer-Perceptrons.
T... [more] |
NC2006-202 pp.85-89 |
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