Adaptive Neurofuzzy System for Tuberculosis

被引：0
|
作者：
Ansari, A. Q. [1 ]
Gupta, Neeraj Kumar [2 ]
Ekata [2 ]
机构：
[1] Jamia Millia Islamia, Dept Elect Engn, New Delhi 110025, India
[2] Krishna Inst Engg Tech, Dept Elect Elect Engg, Ghaziabad, India
来源：
2012 2ND IEEE INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (PDGC) | 2012年
关键词：
Neurofuzzy System; Tuberculosis; Backpropagation;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a neurofuzzy system for tuberculosis (TB) is presented. This proposed work is rule-based fuzzy system which is form of intelligent technique and contain symptoms as its input variables in certain specified ranges & possible cures or referrals to doctors as its output. The adaptability of proposed work is depending upon the rule based algorithm which has decision-making ability and backpropagation learning of neurofuzzy system. Simulated results show the proposed work for automated diagnosis, which have performed by using the realistic causes of tuberculosis disease are effective.
引用
收藏
页码：568 / 573
页数：6
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