期刊文献+

分组区间二型模糊神经网络抗噪逼近器的研究

Research on anti-noise approximator using the method of packet interval type-2 fuzzy neural networks
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摘要 将区间二型模糊系统与神经网络系统相结合,运用分组的思想构造抗噪逼近器,并用提出的抗噪性能评价标准进行抗噪衡量。实验结果表明,该方法具有更好的逼近能力和抗噪能力。 Interval type-2 fuzzy system and neural networks system are combined for anti-noise approximator with the idea of packet,and the evaluation criteria is proposed to measure anti-noise capability at the same time.Experimental results indicate that this method has a better approximation capability and anti-noise capability.
出处 《计算机工程与应用》 CSCD 北大核心 2011年第26期39-42,共4页 Computer Engineering and Applications
基金 国家自然科学基金No.60704047~~
关键词 模糊系统 区间二型模糊 模糊神经网络 模糊逼近 抗噪逼近器 fuzzy system interval type-2 fuzzy fuzzy neural networks fuzzy approximation anti-noise approximator
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参考文献12

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