前馈神经网络中的多目标优化学习

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI:10.1109/KES.1997.619441

A. Dumitras, V. Lazarescu, M. Negoita

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引用次数: 0

摘要

我们证明了前馈神经网络学习过程的多目标优化方法在存在脉冲噪声和异常值的情况下具有更好的信号处理性能。

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Learning as a multi-objective optimization in feedforward neural networks

We prove that a multi-objective optimization approach of the learning process in feedforward neural networks leads to better signal processing performances in the presence of impulsive noise and outliers.

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来源期刊

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97

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