期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2014
卷号：4
期号：3
页码：64-67
出版社：International Journal of Soft Computing & Engineering
摘要：Artificial intelligence technique is a problem solving method, by simulating human intelligence where reasoning is done from previous problems and their solutions. Soft computing consists of artificial intelligence based models that can deal with uncertainty, partial truth, imprecision and approximation. This article discusses about the performance of some soft computing models for the predictive grading of childhood autism. Now a day’s, childhood autism is a common neuro-psychological developmental problem among children. Early and accurate intervention is needed for the correct grading of this disorder. Result demonstrates that soft computing techniques provide acceptable prediction accuracy in autism grading by dealing with the uncertainty and imprecision.
