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Lakhwinder Kaur
Vikas Khullar
Harjit Pal Singh
Manju Bala


Training artificial networks is a complex task of especially importance in the supervised learning field of research. Autism spectrum disorder is neurodevelopment disorder having qualitative impairments in social interaction, communication and repetitive /restrictive patterns of behavior. DSM-IV criteria is used for diagnosing autism spectrum disorder. DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, 4th Edition) describes all mental health disorders for both children and adults which has been published by American Psychiatric Association .We intend to show the superiority (accuracy and error rate) of the Back-propagation Neural Network over other more ―standard algorithms in neural network training. In this work we tackle the problem with four algorithms, Back-propagation Neural Network (BPNN), LVQ (learning vector quantization), SVM (support vector machine) and RBF(radial basis Function) those are implemented using MATLAB tool and try to over a set of results that could hopefully faster future comparisons by using a standard dataset of autistic children and further presents the results. Our conclusions clearly establish the advantages of the BPNN algorithm over the other algorithms in the diagnosing the autistic children.


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RachnaAhuja, DarvinderKaur, Neuro-Fuzzy Methodology for Diagnosis of Autism, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 ,issue 2, 2171-2172,2014

Imianvan, A.A ,intelligent neuro fuzzy expert system for autism recognition,Nigerianjournel of science and environment,vol.12,2013

Kanner, L. Autistic disturbances of affective contact. Nervous Child, 2, 217–250,1943.

Asperger, H. Die “autistischenPsychopathen†imKindesalter. Arch. PsychiatrieNervenkrankheiten, 117, 76–136. (Translated in Frith U. (Ed.) (1991). Autism and Asperger Syndrome.Cambridge: Cambridge University Press.)

Wrong Diagnosis, Autism, retrieved from httpâ€//, 2011

Abhishek, GourSundarMitra Thakur, Dolly Gupta, Proposing Efficient Neural Network Training Model for Kidney Stone Diagnosis, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 3 ,issue 3, 3900-3904,2012

Koushal Kumar, Abhishek, Artificial Neural Networks for Diagnosis of Kidney Stones Disease, I .J. Information Technology and Computer Science, 7, 20-25,2012

Shukla A and Tiwari R “Diagnosis of Thyroid Disorders using Artificial Neural Networks†Department of Information Communication and Technology,2009

Rouhani M and Haghighi M “The Diagnosis of Hepatitis diseases by Support Vector Machines and Artificial Neural Networks†Islamic Azad University, Gonabad branch Gonabad, Iran ,2009

N. W. Washington,Diagnostic and statistical manual of mental disorders, DSM I(First edition),American psychiatric association, 1952.

N. W. Washington,Diagnostic and statistical manual of mental disorders, DSM II(second edition),American psychiatric association, 1968.

N. W. Washington, Diagnostic and statistical manual of mental disorders, DSM III(Third edition),American psychiatric association, 1980.

N. W. Washington,Diagnostic and statistical manual of mental disorders, DSM III -R(Third edition Revised),American psychiatric association, 1987.

N. W. Washington,Diagnostic and statistical manual of mental disorders, DSM IV(Fourth edition),American psychiatric association, 2005.

N. W. Washington,Diagnostic and statistical manual of mental disorders, DSM 5(fifth edition),American psychiatric association, 2013.

ArpneekKaur , AbhishekBhardwaj, Artificial Intelligence in Hypertension Diagnosis: A Review, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 ,issue 2, 2633-2635, 2014

Ahmad, Fadzil, et al. "Intelligent Breast Cancer Diagnosis Using Hybrid GA-ANN." Computational Intelligence, Communication Systems and Networks, Fifth International Conference on. IEEE,2013.

Amin, Syed Umar, KavitaAgarwal, and Rizwan Beg. "Genetic neural network based data mining in prediction of heart disease using risk factors." Information & Communication Technologies,IEEE Conference on. IEEE, 2013.

Khan, Nawaz, DharaGaurav, and Thomas Kandl. "Performance Evaluation of Levenberg-Marquardt Technique in Error Reduction for Diabetes Condition Classification." Procedia Computer Science, Elsevier 2013.

Yin X and Goudriaan J “A flexible sigmoid function of determinate growth†department of plant science wageningen university ,2003

Pete McCollum, An Introduction to Back-Propagation Neural Networks, Seattle Robotics, n.p, 24 feb 2016, web 1998.

Marc Fakhoury, Autistic Spectrum Disorders: A Review Of Clinical Features, Theories And Diagnosis , International journel of development Neuroscience, 2015

NurulRidwahMohd Isa, Marina Yusoff , Noor, Elaiza Khalid, Autism Severity Level Detection Using Fuzzy Expert System, IEEE International Symposium on Robotics and Manufacturing Automation,2014

Marisela Huerta, Somer L. Bishop, Amie Duncan, Vanessa Hus, Catherine Lord, Application of DSM-5 Criteria for Autism Spectrum Disorder to Three Samples of Children With DSM-IV Diagnoses of Pervasive Developmental Disorders, American Journel of Psychiatry, 2012, 169:1056–1064

C.S Kanimozhiselvi_,A. Pratap, PossibilisticLvq Neural Network An Application To Childhood Autism Grading,journel of neural network world, 253-269, 2016.

ChathuraPriyankaras How to use Support Vector Machine classifier in OpenCV for Linearly Separable Data sets, JANUARY 2, 2015.

Sharma, N., Khullar, V., &Luhach, A., “Comparative Study of Back-propagation and PSOBased Back-propagation for Anemia Diagnosis in Pregnant Womenâ€, International Journal ofScience, Engineering & Computer Technology (UGC), Vol. no. 7, Issue no. 1-2, pp. 1-5,2017.