Prediction of autistic disorder using neuro fuzzy system by applying ANN technique

被引：23
|
作者：
Arthi, K. [1 ]
Tamilarasi, A. [2 ]
机构：
[1] Karpagam Coll Engn, Dept Comp Applicat, Coimbatore 641032, Tamil Nadu, India
[2] Kongu Engn Coll, Dept Comp Applicat, Erode, Tamil Nadu, India
来源：
INTERNATIONAL JOURNAL OF DEVELOPMENTAL NEUROSCIENCE | 2008年 / 26卷 / 07期
关键词：
Autistic disorder; Fuzzy membership values; Artificial neural network; Back propagation network;
D O I：
10.1016/j.ijdevneu.2008.07.013
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The major challenge in medical field is to diagnose disorder rather than a disease. In this paper, a neuro fuzzy based model is designed for identification or diagnosis of autism. The problematic areas are gathered from every individual and the related linguistic inputs are converted into fuzzy input values which are in turn given as input to feed forward multilayer neural network. The network is trained using back propagation training algorithm and tested for its performance with the expertise. (C) 2008 ISDN. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：699 / 704
页数：6
相关论文
共 50 条
12345