Accommodation to outliers in identification of non linear SISO systems with neural networks

NEUROCOMPUTING

卷:14

Article

关键词: identification;    neural networks;    robustness;    non-linear system;    outliers;   

DOI  :  10.1016/0925-2312(95)00134-4

来源: Elsevier

【 摘 要 】

The problem of non-linear Single Input Single Output system identification in the presence of large errors in data is considered. Combining the capabilities of neural networks to solve non-linear problems by learning and a robust recursive prediction error learning rule based on the modelling of the errors, a new algorithm is drawn up. Its potentialities are illustrated through simulation studies.

【 授权许可】

Free