A predictive model for chinese children with developmental dyslexia—Based on a genetic algorithm optimized back-propagation neural network
作者：
Highlights：
• Propose a predictive model for Chinese developmental dyslexic children.
• Propose a genetic algorithm optimized model to replace the basic model.
• The experiment used a large amount of data accumulated over the years of research.
• The proposed model achieved the highest accuracy rate than other Chinese studies.
• The proposed model has been developed into software and is applying for a patent.
摘要
•Propose a predictive model for Chinese developmental dyslexic children.•Propose a genetic algorithm optimized model to replace the basic model.•The experiment used a large amount of data accumulated over the years of research.•The proposed model achieved the highest accuracy rate than other Chinese studies.•The proposed model has been developed into software and is applying for a patent.
论文关键词：Chinese children,Developmental dyslexia,Predictive model,Back-propagation neural network,Genetic algorithm
论文评审过程：Received 20 December 2020, Revised 16 September 2021, Accepted 19 September 2021, Available online 27 September 2021, Version of Record 8 October 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115949
