A neural network diagnosis model without disorder independence assumption

被引：0

作者：

Xu, Y ^{[1
]}

Zhang, CQ ^{[1
]}

机构：

[1] Univ New England, Sch Math & Comp Sci, Armidale, NSW 2351, Australia

来源：

PRICAI'98: TOPICS IN ARTIFICIAL INTELLIGENCE | 1998年 / 1531卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Generally, the disorders in a neural network diagnosis model are assumed independent each other. In this paper, we propose a neural network model for diagnostic problem solving where the disorder independence assumption is no longer necessary. Firstly, we characterize the diagnostic tasks and the causal network which is used to represent the diagnostic problem, then we describe the neural network diagnosis model, finally, some experiment results will be given.

引用

页码：341 / 352

页数：12

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