Md. Syeful Islam, Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
Ruhul Abedin, Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
Autism is known as a neurobiological developmental disorder which affects language, communication, and cognitive skill. In the case of autism attention shift impairment and strong familiarity preference are considered to be prime deficiencies. Attention shift impairment is one of the most seen behavioral disorders found in autistic patients. We have model this behavior by employing self-organizing feature map (SOFM).
Autism, Self Organizing Feature Map, Autism Spectrum Disorder, Feature Map, Neural Network
[1] Myers SM, Johnson CP (2007). "Management of children with autism spectrum disorders". Pediatrics 120 (5): 1162–82.
[2] Stefanatos GA (2008). "Regression in autistic spectrum disorders". Neuropsychol Rev 18 (4): 305–19.
[3] Caronna EB, Milunsky JM, Tager-Flusberg H (2008). "Autism spectrum disorders: clinical and research frontiers". Arch Dis Child 93 (6): 518–23.
[4] T. Kohonen, Self-Organisation and Associative Memory. Berlin: Springer-Verlag, 3rd ed., 1988.
[5] Caronna EB, Milunsky JM, Tager-Flusberg H (2008). "Autism spectrum disorders: clinical and research frontiers". Arch Dis Child 93 (6): 518–23.
[6] Diagnostic and statistical manual of mental disorders. 4th ed. American Psychiatric Association (1994).
[7] I. Cohen, “An artificial neural network analogue of learning in autism,” Biol. Psychiatry, no. 36, pp. 5–20, 1994.
[8] Amaral DG, Schumann CM, Nordahl CW (2008). "Neuroanatomy of autism".Trends Neurosci 31 (3): 137–45.
[9] Cass H (1998). "Visual impairment and autism: current questions and future research". Autism 2 (2): 117–38.
[10] S. Geman, E. Bienenstock, and R. Doursat (1992). Neural networks and the bias/variance dilemma. Neural Computation 4, 1–58.
[11] Kohonen, Teuvo; Honkela, Timo (2007). "Kohonen Network".
APA:
Islam, Md. S., and Abedin, R. (2020). Modeling of Autistic Learning Using Self Organizing Feature Map (SOFM). International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, 137, 43-58. doi: 10.33832/ijast.2020.137.05.
MLA:
Islam, Md. Syeful, et al. “Modeling of Autistic Learning Using Self Organizing Feature Map (SOFM).” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 137, 2020, pp. 43-58. IJAST, http://article.nadiapub.com/IJAST/Vol137/5.html.
IEEE:
[1] M. S. Islam, and R. Abedin, "Modeling of Autistic Learning Using Self Organizing Feature Map (SOFM)." International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 137, pp. 43-58, Apr 2020.
IJAST aims to facilitate and support research related to advanced science and technology and the applications. Our Journal provides a chance for academic and industry professionals to discuss recent progress in the areas of advanced science and technology.
