IEICE TRANSACTIONS on Fundamentals
Boolean Neural Network Design Using Set Covering in Hamming Geometrical Space
Summary :
Some novel learning strategies based on set covering in Hamming geometrical space are presented and proved, which are related to the three-layer Boolean neural network (BNN) for implementing an arbitrary Boolean function with low-complexity. Each hidden neuron memorizes a set of learning patterns, then the output layer combines these hidden neurons for explicit output as a Boolean function. The network structure is simple, reliable and can be easily implemented by hardware.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E82-A No.10 pp.2285-2290
- Publication Date
- 1999/10/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Neural Networks
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Xiaomin MA, Xian Yang YI, Zhaozhi ZHANG, "Boolean Neural Network Design Using Set Covering in Hamming Geometrical Space" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 10, pp. 2285-2290, October 1999, doi: .
Abstract: Some novel learning strategies based on set covering in Hamming geometrical space are presented and proved, which are related to the three-layer Boolean neural network (BNN) for implementing an arbitrary Boolean function with low-complexity. Each hidden neuron memorizes a set of learning patterns, then the output layer combines these hidden neurons for explicit output as a Boolean function. The network structure is simple, reliable and can be easily implemented by hardware.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_10_2285/_p
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@ARTICLE{e82-a_10_2285,
author={Xiaomin MA, Xian Yang YI, Zhaozhi ZHANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Boolean Neural Network Design Using Set Covering in Hamming Geometrical Space},
year={1999},
volume={E82-A},
number={10},
pages={2285-2290},
abstract={Some novel learning strategies based on set covering in Hamming geometrical space are presented and proved, which are related to the three-layer Boolean neural network (BNN) for implementing an arbitrary Boolean function with low-complexity. Each hidden neuron memorizes a set of learning patterns, then the output layer combines these hidden neurons for explicit output as a Boolean function. The network structure is simple, reliable and can be easily implemented by hardware.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Boolean Neural Network Design Using Set Covering in Hamming Geometrical Space
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2285
EP - 2290
AU - Xiaomin MA
AU - Xian Yang YI
AU - Zhaozhi ZHANG
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 1999
AB - Some novel learning strategies based on set covering in Hamming geometrical space are presented and proved, which are related to the three-layer Boolean neural network (BNN) for implementing an arbitrary Boolean function with low-complexity. Each hidden neuron memorizes a set of learning patterns, then the output layer combines these hidden neurons for explicit output as a Boolean function. The network structure is simple, reliable and can be easily implemented by hardware.
ER -
English
