一种基于boosting的增量神经网络构造新方法

IEEE International Symposium on Intelligent Signal Processing, 2003 Pub Date : 2003-09-04 DOI:10.1109/ISP.2003.1275834

X. Wang, D. Brown, T. Haynes, T.M.J. Hui

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引用次数: 2

摘要

提出了一种基于AdaBoost算法的加权优化方法，并将其应用于神经网络增量构造中。与传统的基于梯度的方法相比，该方法易于实现，适用于代价函数不光滑的情况。最后给出了实验结果。

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A new method in incremental neural network construction by using boosting

A weighted optimisation method based on the AdaBoost algorithm is proposed and used in neural network incremental construction. Compared to the traditional gradient-based method, it has the advantage of being easy to implement and are applied where the cost function is not smooth. The experimental results are included.

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来源期刊

IEEE International Symposium on Intelligent Signal Processing, 2003

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