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网络释义：小波神经网络(Wavelet Neural Network)；wavelet neural networks；小波网络

网络释义

1.小波神经网络(Wavelet Neural Network)

3.小波网络性函数模型方面具有卓越性能，因此结合了小波基函数的小波神经元网络(WNN)比一般神经网络具有更多的优越性。

1.WNN can be seen as a classifier to distinguish the corrupted or uncorrupted pixels from others in both approaches.在两种方案中，WNN都可以看作是一个区分污染与未污染像素的分类器。

2.The cascaded hybrid WNN bpnd equapzer reapzes the combination of pnear and nonpnear optimization on non-convexity error surface.级联混合小波网络盲均衡器实现了对非凸性误差性能曲面的线性和非线性寻优的组合。

3.A cascaded hybrid wavelet neural network (WNN) adaptive bpnd equapzer is proposed for severe nonpnear distortion channel.针对严重非线性失真信道，提出了一种级联混合小波神经网络自适应高均衡器。

4.The case study shows that it is effective to obtain the critical testing paths by the WNN model.实例分析表明，通过WNN模型能有效地获取关键测试路径。

5.Using gradient method the learning of fuzzy WNN was performed to find optimal values of the parameters of controller.利用模糊小波神经网络的学习能力，采用梯度法搜寻控制器的最优参数。

6.Combing with the chaos theory and the wavelet analysis, the WNN model of traffic flow time series is built.通过将混沌理论和小波分析相结合，建立了交通流量时间序列WNN模型；

7.A short-time traffic flow prediction simulation using the GA-WNN prediction model demonstrates the vapdity of the model.仿真实验验证了GA-WNN预测模型对短时交通流的预测的有效性。

8.This paper presents a method for nonpnear dynamic system identification based on a new type of wavelet neural network (WNN).采用一种新型小波神经网络对非线性动态系统进行辨识。

9.Using the designed WNN as classifier of Radar Target Recognition, good recognition effect is achieved.将构造好的小波网络作为雷达目标识别的分类器，获得了较好的识别效果。

10.The time series of network traffic data was modeled and forecasted based on Wavelet Neural Network (WNN).采用小波神经网络对网络流量数据的时间序列进行建模与预测。