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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 53 of 53 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2010-10-29
10:30
Osaka Osaka University Machikaneyama Hall On learning of dynamic binary neural networks
Ryo Ito, Toshimichi Saito (HU) NLP2010-94
This paper presents a dynamic binary neural network of $N$-bit binary sequence. Basically, the network is constructed by... [more] NLP2010-94
pp.75-80
NC 2010-01-18
17:20
Hokkaido Hyakunen-Kinen in Hokkaido University On learning characteristics of binary neural networks with fuzziness tolerance
Shutaro Kabeya, Toshimichi Saito (Hosei Univ.) NC2009-79
This paper applies the genetic algorithm (GA) to the binary neural networks (BNN) with fuzziness tolerance and studies l... [more] NC2009-79
pp.49-54
NLP 2009-11-14
09:15
Kagoshima   On a GA-based Learning Algorithm of Soft-Margin Binary Neural Networks
Shutaro Kabeya, Toshimichi Saito (Hosei Univ.) NLP2009-113
This paper studies a genetic learning algorithm of soft-margin binary neural networks.
A genetic algorithm based learn... [more]
NLP2009-113
pp.177-180
NLP 2009-02-28
14:00
Kanagawa   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   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, NLP 2008-06-27
15:35
Okinawa University of the Ryukyus GA-based geometrical learning of binary neural networks and its generalization capability
Syuhei Shimada, Hidehiro Nakano, Arata Miyauchi (Musashi Inst. Tech.) NC2008-27
GA-based geometrical learning of Binary Neural Network (BNN) is discussed in this paper.
To apply BNN to the multi cla... [more]
NC2008-27
pp.79-84
NLP 2007-08-07
11:10
Shizuoka   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
NLP 2006-03-20
14:15
Tokyo Hosei Univ.(Ichigaya Campus) A Study on Problem Dependency of GA-based Learning to Binary Neural Networks
Tatsuya Hirane, Hidehiro Nakano, Arata Miyauchi (MI-Tech)
In this paper, we analyze learning characteristics of a GA-based learning algorithm to Binary Neural Networks (BNNs),
f... [more]
NLP2005-144
pp.41-45
NLP 2006-03-20
14:40
Tokyo Hosei Univ.(Ichigaya Campus) Development of a specified processor suited for GA-based learning to binary neural networks
Akio Takahashi, Tatsuya Hirane, Hidehiro Nakano, Arata Miyauchi (Musashi Inst. Tech.)
In this paper, we propose a specified processor system suited for executing a GA-based learning method to Binary Neural ... [more] NLP2005-145
pp.47-52
NLP 2006-01-24
14:00
Tokushima Shikoku Univ. Synthesis of desired cellular automata based on binary neural networks
Toshimichi Saito, Takashi Yamamichi, Satoshi Suzuki, Hiroyuki Torikai (Hosei Univ.)
This paper considers analysis and synthesis of cellular automata ( CAs ).
The CA has binary state variable and the dyn... [more]
NLP2005-119
pp.117-122
NLP 2005-06-23
14:20
Hiroshima Hiroshima City Univ. Analysis for Characteristics of GA-based Learning to Binary Neural Networks
Tatsuya Hirane, Hidehiro Nakano, Arata Miyauchi (MIT)
In this paper, we analyze characteristics of GA-based learning to Binary Neural Networks (BNNs).
First, we consider cod... [more]
NLP2005-21
pp.31-35
NLP 2004-05-18
11:20
Miyagi Tohoku Univ. *
Takashi Yamamichi, Toshimichi Saito (Hosei Univ.)
Binary neural network (BNN) can approximate a desired Boolean function by a simple learning algorithm.This paper present... [more] NLP2004-3
pp.11-15
 Results 41 - 53 of 53 [Previous]  /   
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