A new approach for diabetes risk detection using quadratic interpolation flower pollination neural network
This study aims to evaluate and compare five algorithms in diabetes detection, namely Flower Pollination Neural Network (FPNN), Particle Swarm Optimization Neural Network (PSONN), Bat Artificial Neural Network (BANN), Stochastic Gradient Descent (SGD), and Quadratic Interpolation Flower Pollination...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Association for Knowledge Promotion
2025-06-01
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| Series: | Applied Computer Science |
| Subjects: | |
| Online Access: | https://ph.pollub.pl/index.php/acs/article/view/7186 |
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