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WNN

网络小波神经网络(Wavelet Neural Network)；wavelet neural networks；小波网络

WNN

WNN

WNN

小波神经网络(Wavelet Neural Network)

　　小波神经网络(WNN)是将小波理论与人工神经网络的思想相结合而形成的一种新的神经网络[7]。它将传统神经网络中的隐层节 …

wavelet neural networks

Wavelet neural networks (WNN) combine the functions of time–frequency localization from the wavelet transform and of self-s...

小波网络

小波网络(WNN)1. 提出了两种自适应分配改进算法,这两种方法均适用于短波宽带正交频分复用(OFDM)系统。

小波神经元网络

...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。

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 validity 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 nonlinear 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。

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。

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