神经网络的系统辨识视角

Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop Pub Date : 1992-08-31 DOI:10.1109/NNSP.1992.253670

L. Ljung, J. Sjoberg

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引用次数: 38

摘要

作者回顾了一些基本的系统识别机制，以揭示与神经网络的联系。特别是，他们指出了正则化在处理具有许多参数的模型结构中的作用，并显示了神经网络中过度训练的联系。对神经网络的成功也给出了一些初步的解释。

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A system identification perspective on neural nets

The authors review some of the basic system identification machinery to reveal connections with neural networks. In particular, they point to the role of regularization in dealing with model structures with many parameters, and show the links to overtraining in neural nets. Some provisional explanations for the success of neural nets are also offered.<>

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Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop

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