Ensemble deep random vector functional link neural net for imbalanced datasets
In this project, the Ensemble Deep Random Vector Functional Link (edRVFL) network has been modified to enhance classification performance on any dataset with class imbalance. Imbalanced datasets is ubiquitous in numerous applications of machine learning and it is essential to develop models that cou...
Saved in:
Main Author: | Soo, Jian Xian |
---|---|
Other Authors: | Ponnuthurai Nagaratnam Suganthan |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/156880 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Random vector functional link network based shallow and deep learning
by: Shi, Qiushi
Published: (2023) -
Ensemble deep random vector functional link neural network for regression
by: Hu, Minghui, et al.
Published: (2023) -
Random vector functional link neural network based ensemble deep learning
by: Shi, Qiushi, et al.
Published: (2022) -
Online dynamic ensemble deep random vector functional link neural network for forecasting
by: Gao, Ruobin, et al.
Published: (2024) -
Decision trees, random vector functional link neural network and their ensembles
by: Katuwal, Rakesh Kumar
Published: (2020)