递归小波神经网络 RWNN
小波神经网络组合模型 WANN
广义小波神经网络 GWNN
模糊小波神经网络 FWNN
混合小波神经网络 HWNN
连续小波神经网络 CWNN
自回归小波神经的网络 SRWNN
Wavelet analysis and neural network have been researched. Based on BP neural network,analysing the features of the BP neural network’s activation function and the structure of the BP neural network,wavelets neural network is constructed with wavelet function.
小波分析和神经网络得到了广泛的研究，小波神经网络是在BP神经网络的基础上，考虑和分析了BP神经网络的激励函数的特点，以及BP神经网络的结构，结合了小波分析的知识而构造的。
参考来源 - 小波神经网络及其应用·2,447,543篇论文数据，部分数据来源于NoteExpress
介绍了小波神经网络的数学框架及其误差反向学习算法。
The mathematic frame of the neural network and error back propagation algorithm were introduced.
对小波神经网络采用最速梯度下降法优化网络参数，并对学习率采用自适应学习速率方法自动调节。
In WNN the most fast grads descent methodology was adopted to adjust the network parameters and the learning rate by self adapting learning rate method.
通过小波及小波变换的原理和方法，建立了适用于武器装备研制费用的小波神经网络预测与控制模型。
The wavelet neural network model to forecast and control equipment development expense is established on the basis of theory and method of wavelet together with its transform.
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