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
收藏
页码：1350 / 1359
页数：10
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