提出了一种新的基于小波交换和自适应共振理论神经网络(Adaptive Resonance Theory Neural Network, ART)的指纹识别算法,利用小波交换提取指纹的细节特征．将指纹图像域的细节特征转化为小波域的特征向量, 并用...
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目的基于自适应共振理论，提出一种基于ART2神经网络的结构损伤识别方法，以实现结构损伤识别的自主学习。
An ART2 neural network based on adaptive resonance theory is put forward in this work to identify the damage of the structures and to realize the on-line self-study of the network.
利用人工神经网络法中的自适应共振理论优选钻头 ，将定性、定量优选因素作为输入层神经元 ，形成一种综合性选型方法 。
The new network model is formed by incorporating the two concepts of fuzzy set theory, closeness and closest principles, with adaptive resonance theory (ART).
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