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基于神经网络的小波分析在两相流不稳定性中的应用 被引量:3

Application of Wavelets Analysis Based on Neural Network
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摘要 小波变换和分解具有良好的时频局部化特性,使得小波分析被广泛地应用于时频分析中。本文结合了神经网络良好的自学习和自适应能力,得到小波神经网络,通过计算机仿真实现了对两相流不稳定性的辨识。 From wavelets analysis theory,we can get excellent transform and decomposition characters of wavelets analysis.Therefore,the neural network and wavelets analysis are combined and used in identifying the two- phase flow instability.The wavelet network training and experimental results are reported.
出处 《核动力工程》 EI CAS CSCD 北大核心 2000年第5期407-410,共4页 Nuclear Power Engineering
基金 自然科学基金!(19675028) 核工业基金!(H7196EY701)
关键词 小波分析 神经网络 两相流 不稳定性 计算机仿真 Wavelets analysis Wavelet neural network Two- phase flow Instability
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