Zhaoquan Xing, Meng Ji, Zhaogang Dong, Xiaofei Xu, Yi Shan
Factors Associated With Limited Digital Health Literacy Among Chinese Male Populations: Cross-sectional Study
JMIR formative research
order study intelligent psychology system paper proposes role adaptive neural network based uses icap learning method compare firstly basic structure neural network teaching system introduced psychological teaching algorithm based adaptive neural network introduced ideas formulated four learning methods design elements adaptive neural network described corresponding relationship four learning methods adaptive neural network explained popular advanced adaptive neural network module usage statistics made network model right advanced left classification accuracy higher interactive learning elements used network model left right gradually increase performances network model gradually enhanced among number interactive learning elements inception modules used network models googlenet inceptionv2 inceptionv4 inceptionresnetv2 9 10 14 20 respectively inceptionv4 also employs 2 interactive learning element reduction modules inceptionresnetv2 uses 2 interactive learning element reduction modules 20 residual modules icap classification method experimentally studied design experiment adopts passive method p active method constructive method c interactive method respectively learn short text materials science analyzing learning effect comparing data test concluded learning performance four learning methods gradually increased 810 learning effect increased significantly gradual increase educational psychological learning elements adaptive neural network network learning level continuously improved classification accuracy gradually improved