Prediction of autistic disorder using neuro fuzzy system by applying ANN technique.
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.
Arthi
K
K
Department of Computer Applications, Karpagam College of Engineering, Coimbatore 641032, Tamil Nadu, India. sek_art@rediffmail.com
Tamilarasi
A
A
D000465:Algorithms; D001185:Artificial Intelligence; D001321:Autistic Disorder / Q000175:diagnosis* / Q000523:psychology; D002648:Child; D003198:Computer Simulation; D003937:Diagnosis, Differential; D003951:Diagnostic Errors / Q000517:prevention & control; D019937:Diagnostic Techniques and Procedures / Q000639:trends; D017143:Fuzzy Logic; D006801:Humans; D016571:Neural Networks, Computer; D011237:Predictive Value of Tests; D012919:Social Behavior; D012984:Software; D012985:Software Design; D013663:Teaching