Optimization of Practical Path of Teaching Reform in Higher Education - Based on Distributed Logistic Model Application

Data publikacji: 07 cze 2024

Otrzymano: 04 mar 2024

Przyjęty: 08 maj 2024

DOI: https://doi.org/10.2478/amns-2024-1388

Słowa kluczowe

Logistic model, Data preprocessing, Regularization transformation, Sigmoid function, Teaching and learning in higher education

© 2024 Xiaoni Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.