WNN
英[]
美[]
- abbr. 世界即时新闻（World News Now，美国广播公司夜间新闻节目）；世界核新闻（World Nuclear News）；世界新闻网络（World News Network）；Windows网上邻居（Windows Network Neighborhood）
双语例句
- 1. The simulation results on real network traffic show that WNN model is more successful than...
- 用实际网络流量对该模型进行验证，结果表明，该模型具有较高的预测效果。
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- 2. 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。
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- 3. Using MRA-WNN, we can approach the whole developing trend of the stock market (the contour), and also capture the changing details.
- 应用MRA-WNN既能逼近股票市场的整体变化趋势（轮廓），亦能捕捉变化的细节。
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- 4. Then the mechanism of the chaotic learning algorithm is described, and the adaptive learning algorithm of WNN for traffic flow time series is designed.
- 阐述了混沌学习算法的机理，设计了交通流量WNN混沌时间序列自适应学习算法。
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- 5. 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.
- 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。
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- 6. WNN controller with the idea of neural networks inverse control is applied. Using multi-step predictive index function to train the weights of controller.
- 采用神经网络逆控制的思想设计小波神经网络控制器，引入多步预测性能指标函数对控制器权值进行在线训练。
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- 7. Secondly, this paper summarizes the current main methods of harmonic detection and puts forward a harmonic detection method based on wavelet neural network (WNN).
- 其次，总结了当前主流的谐波检测方法，提出了一种基于小波神经网络的谐波检测方法。
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- 8. Structure model and algorithms of Wavelet Neural Network (WNN) are designed combining the advantages of both wavelet transform and Artificial Neural Network (ANN).
- 结合小波变换和神经网络的优势给出小波神经网络的结构模型，研究了小波神经网络的学习算法；
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- 9. Integrating the merit of wavelet transform with that of artificial neural network, a wavelet neural network (WNN) model for forecasting network traffic was created.
- 结合小波变换和人工神经网络的优势，建立一种网络流量预测的小波神经网络模型。
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- 10. It is also indicated that current WNN has a poor convergence performance because of adopting the random initialization method and gradient training algorithm of traditional BP NET.
- 还指出由于当前的连续小波神经网络主要使用传统BP神经网络的随机初始化方法和基于梯度的训练算法，因此存在收敛性差的缺点。
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- 11. Aiming at the issue about multi-step prediction of the traffic flow chaotic time series, a fast learning algorithm of wavelet neural network (WNN) based on chaotic mechanism is proposed.
- 针对交通流量混沌时间序列多步预测的问题，提出了一种基于混沌机理的小波神经网络(WNN)快速学习算法。
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- 12. The paper proposes application of Wavelet Neural Network in high-frequency time series calendar effects' study. At last, the paper proves that WNN is better than classical FFF regression.
- 提出了用小波神经网络（WNN）来定量研究高频金融时间序列“日历效应”，通过比较发现WNN是比弹性傅立叶形式（FFF）回归技术更具优势的方法。
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- 13. The paper proposes application of Wavelet Neural Network in high-frequency time series calendar effects' study. At last, the paper proves that WNN is better than classical FFF regression.
- 提出了用小波神经网络（WNN）来定量研究高频金融时间序列“日历效应”，通过比较发现WNN是比弹性傅立叶形式（FFF）回归技术更具优势的方法。
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