Uniqueness Logic and Its Detection by BP Neural Network
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Uniqueness Logic and Its Detection by BP Neural Network
Acta Scientiarum Naturalium Universitatis SunYatseniVol. 52, Issue 3, Pages: 1-5(2013)
作者机构:
1. 中山大学信息科学与技术学院,广东,广州,510006
2. 中山大学软件学院,广东,广州,510006
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CLC:
Published:2013,
Published Online:25 May 2013,
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ZHANG Yunong, DENG Jianhao, JIN Long, et al. Uniqueness Logic and Its Detection by BP Neural Network. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 52(3):1-5(2013)
DOI:
ZHANG Yunong, DENG Jianhao, JIN Long, et al. Uniqueness Logic and Its Detection by BP Neural Network. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 52(3):1-5(2013)DOI:
Uniqueness Logic and Its Detection by BP Neural Network
A creative concept of uniqueness logic is proposed and defined. Uniquenss logic is used to determine whether a unique component exists in an input vector. Possible prospects for the applications of uniqueness logic are presented. BP neural network is employed to construct the uniqueness detection and application models. Computer experiments show that the models based on BP neural network can realize the dectection and application of uniqueness logic accurately and effectively.
关键词
人工神经网络误差回传唯一性逻辑侦测模型
Keywords
neural networkback propagationuniqueness logicdetection model