A novel method for financial distress prediction based on sparse neural networks with regularization
Y Chen, J Guo, J Huang, B Lin - International Journal of Machine Learning …, 2022 - Springer
Corporate financial distress is related to the interests of the enterprise and stakeholders.
Therefore, its accurate prediction is of great significance to avoid huge losses from them …
Therefore, its accurate prediction is of great significance to avoid huge losses from them …
A stock price forecasting model integrating complementary ensemble empirical mode decomposition and independent component analysis
In recent years, due to the non-stationary behavior of data samples, modeling and
forecasting the stock price has been challenging for the business community and …
forecasting the stock price has been challenging for the business community and …
Framelet-based dual hypergraph neural networks for student performance prediction
In the field of educational data mining, accurately predicting student performance is vital for
developing effective educational strategies. However, existing methods often fall short in …
developing effective educational strategies. However, existing methods often fall short in …
A Comparative Study of Hybrid Neural Network with Metaheuristics for Student Performance Classification
G Phatai, T Luangrungruang - 2023 11th International …, 2023 - ieeexplore.ieee.org
This study investigated the use of an neural network (NN) and metaheuristic algorithms for
predictions using the Higher Education Students Performance Evaluation Dataset. An NN …
predictions using the Higher Education Students Performance Evaluation Dataset. An NN …
Generation and Research of Online English Course Learning Evaluation Model Based on Genetic Algorithm Improved Neural Set Network
Q Song - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
The rationality and timeliness of the comprehensive results of English course learning
quality are increasingly important in the process of modern education. There are some …
quality are increasingly important in the process of modern education. There are some …
A GA-BP Neural Network Model for Students Examination Score Prediction
C Mei - 2022 IEEE Conference on Telecommunications, Optics …, 2022 - ieeexplore.ieee.org
To improve the teaching effect of" Computer Application Basis" course, this paper selects the
students' behavior data in a Chinese university and uses convolution neural network as the …
students' behavior data in a Chinese university and uses convolution neural network as the …
Modeling study duration considering course enrollments and student diversity
N Seidel - … of the 15th International Conference on …, 2022 - educationaldatamining.org
Students are self-determined to choose degree programs and courses at their own pace.
However, this variety of choices can lead to a long duration of study, especially in part-time …
However, this variety of choices can lead to a long duration of study, especially in part-time …
Exploring Predictive Models for Student Success in National Physical Therapy Examination: A Deep Learning Approach
B Kim, Y Lee, Y Jang, W Lee, W Choi - Available at SSRN 4700919 - papers.ssrn.com
Background: The study theorizes that machine learning models can effectively predict
national exam scores of physical therapy students, aiming to enhance existing prediction …
national exam scores of physical therapy students, aiming to enhance existing prediction …