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

International Journal of Developmental Neuroscience : the Official Journal of the International Society for Developmental Neuroscience
K Arthi, A Tamilarasi

Abstract

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.

References

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May 25, 2005·Journal of Autism and Developmental Disorders·Chris AshwinSimon Baron-Cohen
Nov 10, 2006·IEEE Transactions on Visualization and Computer Graphics·Chi-Wing Fu, Andrew J Hanson
Feb 6, 2008·IEEE Transactions on Neural Networks·S Mitra, Y Hayashi

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Citations

Feb 10, 2009·Computers in Biology and Medicine·Babita Pandey, R B Mishra
Jul 29, 2018·Australasian Physical & Engineering Sciences in Medicine·Anurag SharmaYogeswara Rao
Oct 26, 2016·Psychiatric Genetics·Naushad Shaik MohammadAkella Radha Rama Devi

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