Three-branch random forest intrusion detection model

C Zhang, W Wang, L Liu, J Ren, L Wang - Mathematics, 2022 - mdpi.com
Network intrusion detection has the problems of large amounts of data, numerous attributes,
and different levels of importance for each attribute in detection. However, in random forests …

Early warning of enterprise financial risk based on decision tree algorithm

S Hong, H Wu, X Xu, W Xiong - Computational Intelligence and …, 2022 - Wiley Online Library
To improve enterprise financial early warning, we propose an algorithm based on a decision
tree. According to the shortcomings and defects of the classical algorithm and the traditional …

Enhancing Deep Learning Optimizers for Detecting Malware Using Line Search Method under Strong Wolfe Conditions

MA Saleh - 2023 3rd International Conference on Computing …, 2023 - ieeexplore.ieee.org
Optimizers play a crucial role in deep learning neural networks (DL-NNs). An optimizer is an
algorithm that adjusts the parameters of deep learning neural networks (DL-NNs) to improve …

Early Warning of Enterprise Financial Risk Based on Decision Tree Algorithm

H Sen, H Wu, X Xu, W Xiong - Computational Intelligence and …, 2022 - search.proquest.com
To improve enterprise financial early warning, we propose an algorithm based on a decision
tree. According to the shortcomings and defects of the classical algorithm and the traditional …

[PDF][PDF] Research Article Early Warning of Enterprise Financial Risk Based on Decision Tree Algorithm

S Hong, H Wu, X Xu, W Xiong - 2022 - pdfs.semanticscholar.org
To improve enterprise financial early warning, we propose an algorithm based on a decision
tree. According to the shortcomings and defects of the classical algorithm and the traditional …