Rehabilitation Educational Design for Children with Autism Based on the Radial Basis Function Neural Network

Children with autism need appropriate educational toys to assist rehabilitation training, so as to inhibit the development of autism. Toys and related treatments for children with autism can alleviate some of the deficits of children with autism. By using toys as stimuli and various sensations obtai...

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Autores principales:	Yueer Qi, Jia-Xuan Han
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/e8a9c5aef0ab4eb2907ffa2b9c017f62
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spelling	oai:doaj.org-article:e8a9c5aef0ab4eb2907ffa2b9c017f622021-11-15T01:20:08ZRehabilitation Educational Design for Children with Autism Based on the Radial Basis Function Neural Network2040-230910.1155/2021/2961546https://doaj.org/article/e8a9c5aef0ab4eb2907ffa2b9c017f622021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2961546https://doaj.org/toc/2040-2309Children with autism need appropriate educational toys to assist rehabilitation training, so as to inhibit the development of autism. Toys and related treatments for children with autism can alleviate some of the deficits of children with autism. By using toys as stimuli and various sensations obtained by children with autism or toys as a result of reinforcement, the improvement of certain capabilities expected by related therapies can be achieved through the process of stimulation and reinforcement. However, in the process of pediatrics toy development, it is difficult for toy designers to assess whether the purpose of stimulation and reinforcement can be achieved. There are many factors that affect the design of rehabilitation toys. The industry has not formed a unified design evaluation standard, and the effects of product rehabilitation training are uneven. A method based on the radial basis function (RBF) neural network was proposed in this research to study the rehabilitation design and evaluation of rehabilitation toys for children with autism. Firstly, according to the three demand indicators for the evaluation of rehabilitation training for children with autism, that is, “useful, educational, and entertaining,” the analytic network process (ANP) method was chosen as the weighting method for determining each indicator in the overall evaluation. The RBF neural network rehabilitation model for children with autism was designed and evaluated. The maximum error of the model was less than 10%. The evaluation method was objective and reasonable, so as to provide a reference for the more accurate design evaluation, purchase, and development of rehabilitation toys for children with autism.Yueer QiJia-Xuan HanHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Yueer Qi Jia-Xuan Han Rehabilitation Educational Design for Children with Autism Based on the Radial Basis Function Neural Network
description	Children with autism need appropriate educational toys to assist rehabilitation training, so as to inhibit the development of autism. Toys and related treatments for children with autism can alleviate some of the deficits of children with autism. By using toys as stimuli and various sensations obtained by children with autism or toys as a result of reinforcement, the improvement of certain capabilities expected by related therapies can be achieved through the process of stimulation and reinforcement. However, in the process of pediatrics toy development, it is difficult for toy designers to assess whether the purpose of stimulation and reinforcement can be achieved. There are many factors that affect the design of rehabilitation toys. The industry has not formed a unified design evaluation standard, and the effects of product rehabilitation training are uneven. A method based on the radial basis function (RBF) neural network was proposed in this research to study the rehabilitation design and evaluation of rehabilitation toys for children with autism. Firstly, according to the three demand indicators for the evaluation of rehabilitation training for children with autism, that is, “useful, educational, and entertaining,” the analytic network process (ANP) method was chosen as the weighting method for determining each indicator in the overall evaluation. The RBF neural network rehabilitation model for children with autism was designed and evaluated. The maximum error of the model was less than 10%. The evaluation method was objective and reasonable, so as to provide a reference for the more accurate design evaluation, purchase, and development of rehabilitation toys for children with autism.
format	article
author	Yueer Qi Jia-Xuan Han
author_facet	Yueer Qi Jia-Xuan Han
author_sort	Yueer Qi
title	Rehabilitation Educational Design for Children with Autism Based on the Radial Basis Function Neural Network
title_short	Rehabilitation Educational Design for Children with Autism Based on the Radial Basis Function Neural Network
title_full	Rehabilitation Educational Design for Children with Autism Based on the Radial Basis Function Neural Network
title_fullStr	Rehabilitation Educational Design for Children with Autism Based on the Radial Basis Function Neural Network
title_full_unstemmed	Rehabilitation Educational Design for Children with Autism Based on the Radial Basis Function Neural Network
title_sort	rehabilitation educational design for children with autism based on the radial basis function neural network
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/e8a9c5aef0ab4eb2907ffa2b9c017f62
work_keys_str_mv	AT yueerqi rehabilitationeducationaldesignforchildrenwithautismbasedontheradialbasisfunctionneuralnetwork AT jiaxuanhan rehabilitationeducationaldesignforchildrenwithautismbasedontheradialbasisfunctionneuralnetwork
_version_	1718428956046131200

Rehabilitation Educational Design for Children with Autism Based on the Radial Basis Function Neural Network

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