Non-linear Mapping Method for Student Internship Evaluation Indicators Based on Deep Learning Algorithms
Abstract
This study presents a non-linear mapping method for internship evaluation indicators based on deep learning algorithms. Deploying deep learning algorithms to process student internship evaluation indicators and utilizing a Softmax classifi er for feature classifi cation, a non-linear mapping is employed to establish the relationship between evaluation indicator features and evaluation levels.
Keywords
Deep learning algorithm; Softmax classifi er; Non-linear mapping method; Feature classifi cation
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DOI: http://dx.doi.org/10.18686/ahe.v7i34.12137
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