Recently,wavelet neural networks have become apopular tool for non-linear functional approximation.
小波神经网络是近年来发展起来的一种逼近非线性函数的新型人工神经网络。
参考来源 - 基于小波神经网络的NLAR(p)过程的逼近A hybrid genetic algorithm based on multi-encoding method for the optimization of wavelet neural networks (WNN) is put forward. This method can be used to optimize the structure and the parameters of WNN in the same training process.
采用多值编码方式构造染色体结构，对小波神经网络的结构和参数进行编码，可以同时确定小波神经网络结构和优化网络参数，简化了问题的求解过程。
参考来源 - 期刊学术社区·2,447,543篇论文数据，部分数据来源于NoteExpress
A fault pattern recognition method of power electronic circuits based on two wavelet neural networks is presented.
介绍了一种基于二等分取样，并将预处理数据放大的故障判别神经网络。
In this paper, a one-step ahead predictive control algorithm based on wavelet neural networks is proposed for the gyro stability tracking system with high accuracy.
针对高精度陀螺稳定跟踪系统，提出了一种基于小波基函数神经网络的非线性系统的一步超前预测控制算法。
Wavelet neural networks can be regard as not only the function-linked networks based wavelet function, but also the extension of Radical basis function (RBF) networks.
小波神经网络可以看作是以小波函数为基底的一种函数连接型网络，也可以认为是径向基函数(RBF)网络的推广。
应用推荐