Development of a scaled conjugate gradient algorithm for significant RF neural signal processing
Artificial Neural Networks (ANN) are computational models inspired by the human brain, capable of recognizing patterns and making predictions. Scale Conjugate Gradient (SCG) algorithm is an efficient training method for ANN that accelerates the learning process and improves output accuracy. However,...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
UiTM Press
2025
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/126258/1/126258.pdf https://ir.uitm.edu.my/id/eprint/126258/ https://jeesr.uitm.edu.my |
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