Estimation of Word Recognition by Using Back-Propagation Neural Network

In recent years, the studies on literacy and reading have been taken seriously. A lot of researchers mention that t he key factor to improve the students’ reading ability is word recognition. If teachers realize the ability of students’ vocabulary, they can use remedial teaching to help the sub-standard students. This study uses the back-propagation neural network to es tablish an experimental model. The comparison of the literacy estimated results between the back-propagation neural network and the traditional statistical method is verified. Th is study proves that the back-propagation neural network has good credibility and extension, as well as the estimated results can be taken as the classified basis on students’ literacy.