Prediction of autistic disorder using neuro fuzzy system by applying ANN technique
Prediction of autistic disorder using neuro fuzzy system by applying ANN technique
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DOI：
10.1016/j.ijdevneu.2008.07.013
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发表时间：
2008-11-01
影响因子：
1.8
通讯作者：
Tamilarasi, A.
中科院分区：
文献类型：
--
作者：
Arthi, K.;Tamilarasi, A.
医学领域的主要挑战是诊断障碍而不是疾病。本文设计了一种基于神经模糊的自闭症识别与诊断模型。从每个个体中收集问题区域，并将相关的语言输入转换为模糊输入值，然后将模糊输入值作为前馈多层神经网络的输入。利用反向传播训练算法对网络进行训练，并对其性能进行测试。(c) 2008 isdn。Elsevier Ltd.出版。版权所有。
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.