Comparison between Levenberg-Marquardt and scaled conjugate gradient training algorithms for ionosphere condition using Multilayer Perceptrons: article / Mohd Sharif Ibrahim
Ionosphere is one of layer at earth’s atmosphere. Ionosphere can be described a many layer and have own functional of systems at atmosphere. This paper described the examinations of two training algorithms which are Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG) of Multilayer Perceptro...
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| Format: | Article |
| Language: | English |
| Published: |
2010
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| Online Access: | https://ir.uitm.edu.my/id/eprint/107838/1/107838.pdf https://ir.uitm.edu.my/id/eprint/107838/ |
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| Summary: | Ionosphere is one of layer at earth’s atmosphere. Ionosphere can be described a many layer and have own functional of systems at atmosphere. This paper described the examinations of two training algorithms which are Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG) of Multilayer Perceptrons (MLPs) using MATLAB R2009a. Based on the result, we conclude that both algorithms were comparable in terms of accuracy and speed. However, the SCG algorithm has shown better advantage in terms of accuracy and speed on the best MLP structure (with 25 hidden units). |
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