An Overview of Paraconsistent Artificial Neural Networks and Applications

被引：0

作者：

Abe, Jair Minoro ^{[1
,2
]}

Lopes, Helder F. S. ^{[2
]}

Nakamatsu, Kazumi ^{[3
]}

机构：

[1] ICET Paulista Univ, Grad Program Prod Engn, R Dr Bacelar 1212, BR-04026002 Sao Paulo, Brazil

[2] Univ Sao Paulo, Inst Adv Studies, Sao Paulo, Brazil

[3] Univ Hyogo, Sch Human Sci & Environm H S, Hyogo, Japan

来源：

ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS | 2012年 / 243卷

关键词：

artificial neural network; paraconsistent logics; pattern recognition; ALZHEIMERS-DISEASE;

D O I：

10.3233/978-1-61499-105-2-1350

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work we present an overview of some studies made with Paraconsistent Artificial Neural Network - PANN and we discuss its potential applications. PANN is a new type of Artificial Neural Network - ANNs based on a new paraconsistent logics, namely Paraconsistent Annotated Evidential Logic Et, which is capable of manipulating concepts like impreciseness, inconsistency, and paracompleteness in a non-trivial manner.

引用

页码：1350 / 1359

页数：10

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