BLSF: Adaptive Learning for Small-Sample Medical Data With Broad Learning System Forest Integration
The Broad Learning System Forest (BLSF) model proved to be the preeminent classifier across all assessed datasets, demonstrating outstanding performance and efficiency. In the dataset, BLSF attained an accuracy of 94.53%, markedly exceeding standard BLS at 84.32%, Fuzzy BLS at 79.88%, and Intuitioni...
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| Main Authors: | Dimas Chaerul Ekty Saputra, Khamron Sunat, Tri Ratnaningsih |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10772198/ |
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