Improving Stability and Convergence for Adaptive Radial Basis Function Neural Networks Algorithm. (On-Line Harmonics Estimation Application)
In this paper, an adaptive Radial Basis Function Neural Networks (RBFNN) algorithm is used to estimate the fundamental and harmonic components of nonlinear load current. The performance of the adaptive RBFNN is evaluated based on the difference between the original signal and the constructed signal...
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| Main Authors: | , |
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| Format: | EJournal Article |
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Center of Biomass & Renewable Energy, Diponegoro University,
2017-03-22.
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| Subjects: | |
| Online Access: | Get Fulltext |
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |