Because that wavelet transform can effectively extract the characters, the Adaptive Resonance Theory (ART) Neural Networks has a good learning ability.
由于小波变换能有效地提取字符的结构特征，自适应共振(art)网络有很好的学习能力。
This paper combines the two aspects to recognize handwritten digits by using wavelet transform to extract feature and Adaptive Resonance Theory (ART) Neural Networks for Classification.
本文将二者结合起来，用小波变换抽取特征、用自适应共振art网络作模式分类器来识别手写数字。
This fuzzy neural network USES wavelet basis function as membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability.
这种模糊神经网络利用了小波基函数作为隶属函数，可在线根据误差调整隶属函数的形状，使模糊神经网络具有更强的学习和适应能力。
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
本文以小波网络和多模型理论为基础，对复杂非线性动态系统的辨识和控制方法进行了研究。
Several fixed models with one adaptive model are used as sub-models in this method. And the wavelet networks controllers are designed according to the corresponding identifiers.
该方法使用一个自适应小波网络和多个固定小波网络作为子模型，针对每个子模型设计相应的小波网络控制器。
Several fixed models with one adaptive model are used as sub-models in this method. And the wavelet networks controllers are designed according to the corresponding identifiers.
该方法使用一个自适应小波网络和多个固定小波网络作为子模型，针对每个子模型设计相应的小波网络控制器。
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