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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3
Neural Network Based on QBP and Its Performance
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
ASCII Text
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Nobuyuki Matsui, Noriaki Kouda, Haruhiko Nishimura, "Neural Network Based on QBP and Its Performance," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 3, pp. 3247, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.861311,
author = {Nobuyuki Matsui and Noriaki Kouda and Haruhiko Nishimura},
title = {Neural Network Based on QBP and Its Performance},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {3},
year = {2000},
issn = {1098-7576},
pages = {3247},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861311},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - Neural Network Based on QBP and Its Performance
SN - 1098-7576
SP
EP
A1 - Nobuyuki Matsui,
A1 - Noriaki Kouda,
A1 - Haruhiko Nishimura,
PY - 2000
KW - quantum mechanics
KW - qubit neuron
KW - quantum back propagation
KW - function identification
KW - non-standard computation
VL - 3
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
Nobuyuki Matsui, Himeji Institute of Technology
Noriaki Kouda, Himeji Institute of Technology
Haruhiko Nishimura, Hyogo University of Education
In recent years, some researchers have been exploring quantum computer in view of neural network to realize a distributed and strongly connectionist system that achieves parallel and fast information processing. We have proposed a qubit neuron model based on quantum mechanics, constructed the Quantum Back Propagation learning rule (QBP), and investigated it. In this paper, we show our improved QBP neural network model and discuss its performance on solving the 4 bit parity check problem and the fiction identification problem. Then, we conclude our model is more excellent than the conventional one in information processing efficiency.
Index Terms:
quantum mechanics, qubit neuron, quantum back propagation, function identification, non-standard computation
Citation:
Nobuyuki Matsui, Noriaki Kouda, Haruhiko Nishimura, "Neural Network Based on QBP and Its Performance," ijcnn, vol. 3, pp.3247, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000
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