三值逻辑神经元模型及其不确定性推理应用

doi:10.3863/j.issn.1000-2634.2005.04.17

西南石油大学学报(自然科学版) ›› 2005, Vol. 27 ›› Issue (4): 56-59.DOI: 10.3863/j.issn.1000-2634.2005.04.17

三值逻辑神经元模型及其不确定性推理应用

陈星，刁永锋

西华师范大学计算机应用研究所，四川南充 637002

收稿日期:2004-05-18 修回日期:1900-01-01 出版日期:2005-08-20 发布日期:2005-08-20
通讯作者: 陈星

A THREE-VALUED LOGIC NEURON MODEL AND ITS APPLICATIONS IN UNCERTAIN REASONING

CHEN Xing，DIAO Yong-feng.

lnstitute of Coniputer Application，China West Normal University, Nanchong Sichuan, 637002

Received:2004-05-18 Revised:1900-01-01 Online:2005-08-20 Published:2005-08-20
Contact: CHEN Xing

摘要/Abstract

摘要：

针对二值神经元在不确定性知识表示和推理中的不足，提出了一种具有三值逻辑表达能力的神经元模型:三值逻辑与神经元和三值逻辑或神经元。采用这种三值逻辑神经元来表示规则和真值状态的不确定性，由这种逻辑神经元连接而成的神经元链能够实现三值逻辑推理系统，可以对三值关联规则进行表示和推理。

关键词: 神经元, 三值逻辑, 不确定性推理

Abstract:

As to the weakness of the binary logic neuron in uncertain knowledge representation and reasoning, a new neuron model (three valued logic neuron, TLN) was presented in this paper.It can express three valued logic knowledge.There are two different TLNs which are TLN-AND(three valued “logic and” neuron) and TLN-OR(three valued “logic or” neuron).This kind of neuron can represent uncertainty of rules and truth value.Neural chains made up of this kind of neurons can be used as three valued logic inference system, and can present and inference ternary, even the preconditions are not sufficient, conclusions can get.

Key words: neuron, ternary adjacent rule, uncertain knowledge representetion and reasoning

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