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Damage Identification in Structures Based on Integrated Wavelet Neural Networks

机译:基于集成小波神经网络的结构损伤识别

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The tight wavelet neural network was constituted taking the nonlinear Morlet wavelet radices as the stimulant function. The idiographic algorithm was presented. It can combine the advantages of wavelet analysis and neural networks. The integrated wavelet neural network damage identification system was set up based on both the information fusion technology and actual damage identification, which taking the sub-wavelet neural network as primary identification from different sides, then gained the conclusions through decision-making fusion. The realizable policy of the identification system and established principle of the sub-wavelet neural networks were given in the paper. It can be educed from the examples that it takes full advantage of diversified characteristic information, and improves the identification rate.
机译:以非线性Morlet小波半径为刺激函数,构成了紧小波神经网络。提出了独特的算法。它可以结合小波分析和神经网络的优势。建立了基于信息融合技术和实际损伤识别的集成小波神经网络损伤识别系统,以亚小波神经网络为代表,从多方面进行初步识别,然后通过决策融合得出结论。给出了识别系统的实现策略和子小波神经网络的建立原理。从实例中可以得出,它充分利用了多样化的特征信息,提高了识别率。

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