模糊小波神经网络 FWNN
The good time-frequency location characteristics of wavelet network, fuzzy inference and self-learning ability of neural network are shown in fuzzy wavelet neural network, so the approximation ability is greatly improved.
模糊小波网络结合了小波变换良好的时频局域化性质,模糊推理和神经网络的学习能力,因此函数逼近能力大大提高。
参考来源 - 模糊小波技术在几类非线性系统中应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
在学习过程中通过同时调整小波基函数的平移因子和隶属度函数的形状，使得模糊小波网络的精度和泛化能力大大提高。
By adjusting the translation parameters of the wavelets and the shape of membership functions, the accuracy and generalization capability of FWN can be remarkably improved.
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。
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.
提出了一种自适应模糊小波神经网络的滑模控制策略，保证系统的跟踪误差和对外界干扰的抑制被衰减到期望的程度。
An adaptive sliding mode control based on fuzzy wavelet network is proposed to guarantee the effects of the tracking error and external disturbances can be attenuated to a specific attenuation level.
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