An Adaptive Learning Rate for RBFNN Using Time-Domain Feedback Analysis
Radial basis function neural networks are used in a variety of applications such as pattern recognition, nonlinear identification, control and time series prediction. In this paper, the learning algorithm of radial basis function neural networks is analyzed in a feedback structure. The robustness of...
Збережено в:
| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Wiley
2014-01-01
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| Серія: | The Scientific World Journal |
| Онлайн доступ: | http://dx.doi.org/10.1155/2014/850189 |
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