DOI: 10.14704/nq.2018.16.5.1416

The Application of Brain Neural Computational Model in English Learning

Yong Liu

Abstract


To apply the brain neural computational model to language cognition, this paper takes the application of the model in English learning as the study object. According the recent research, this study combines with the artificial brain neural network (ANN), use the psychological computational model and associated hypothesis models, on the basis of the theoretical results of domestic and foreign scholars' research and finally find the reasons for learning disabilities and verify the phonological awareness of learners. Assumptions related to memory ability are put forward, and English learning intervention suggestions based on association hypothesis model of learners’ phonological awareness and memory ability were proposed. The result shows that the ANN can simulate the learner’s learning path and provide a basis for predicting the learner’s learning ability and the learning barrier analysis. At the same time, it can provide more accurate clues and directions for subject teachers’ individualized teaching.

Keywords


Brain Neural Computational Model, ANN Simulation, English Learning, Associated Hypothesis

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