摘要
A new approximating sensitivity algorithm in prediction error method is derived for a class continuous nonlinear dynamic system identification including training multi-layer neural networks. The algorithm can be used to approximate the gradient of output with respect to unknown parameter in a wic class of continuous-discrete nonlinear systems. The comparison between new and convention algorithm, and simulated example is included to demonstrate the effectiveness of the new algorithm.
源语言 | 英语 |
---|---|
页(从-至) | 45-58 |
页数 | 14 |
期刊 | Advances in Modelling and Analysis B |
卷 | 44 |
期 | 3-4 |
出版状态 | 已出版 - 2001 |
已对外发布 | 是 |
指纹
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Cui, P., & Cui, H. (2001). An improved PE algorithm for continuous nonlinear system identification with application to learning in neural networks. Advances in Modelling and Analysis B, 44(3-4), 45-58.