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.
提出了一种利用小波神经网络辨识非线性系统多模型故障的方法。
The method for the multiple model failure detection is presented based on wavelet neural network and the designed neural network observer to increase the precision of the identification.
将所提出的小波神经网络用于毫米波频率步进雷达目标一维距离像识别。
The wavelet neural network is applied in target identification of step frequency MMW radar. The results of experiment indicate that the method is valuable for target classification.
针对以往心电检测处理算法的不足，本文提出了基于小波神经网络的心电检测算法。
In the paper, for the shortcomings of the previous algorithms of ECG detection and processing, I put forward a ECG detection method based on wavelet nerves network.
提出一种应用小波神经网络进行动态实时调整传统电力系统稳定器参数的设计方法。
This paper presents a new approach for real-time tuning the parameters of a conventional power system stabilizer using the wavelet neural network, which is used to design the stabilizer.
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。
Integrating the merit of wavelet transform with that of artificial neural network, a wavelet neural network (WNN) model for forecasting network traffic was created.
为了有效的进行刀具状态监测，采用小波神经网络的松散型结合对刀具进行故障诊断。
In order to improve cutting tool condition monitoring, a method of cutting tool fault diagnosis based on wavelet and artificial networks with relaxed structure is proposed in this paper.
最后用训练后得到的小波神经网络用于函数近似，体现小波神经网络良好的近似功能。
In the end, wavelet neural network after being trained is used to approximation of function to performance good approximation of function.
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。
Secondly, this paper summarizes the current main methods of harmonic detection and puts forward a harmonic detection method based on wavelet neural network (WNN).
小波神经网络的训练采用自适应调整学习率及动量系数的方法，以避免陷入局部极小值。
The self-adaptive learning rate and momentum coefficient are used to avoid the local minimum point in the training process of wavelet neural network.
自适应小波神经网络检测法就是利用小波函数取代通常神经网络中隐层的作用函数来实现的。
Adaptive wavelet neural network intelligent detection is a method in which the wavelet function substitutes for the activation function of hidden layer in the neural network.
实验表明，与rbf神经预测方法相比，小波神经网络预测方法的逼近效果更好、误差更小。
Experimental results show that, comparing with RBF neural prediction method, wavelet neural network prediction method approaches better result, and the error margin is smaller.
详细综述了BP网络、R BF网络以及小波神经网络在电力负荷预测领域的研究和应用现状。
In this article, the research and applied of BP network and RBF network as well as wavelet neural network in power load forecasting has been summarized in detail.
本文采用动态小波神经网络方法，对复合材料疲劳剩余寿命进行了预测，结果与试验结果很接近。
The dynamic wavelet neural network method is applied to predict the fatigue residual life of the composite material. The predicting result is very close to the testing result.
基于小波神经网络，文中提出了可变尺度小波神经网络，可减少隐层神经元数目，精简网络结构。
Based on the wavelet neural network, this paper proposes a new network named varying scales wavelet neural network to reduce wavelet-neuron Numbers and simplify network structure.
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；
Structure model and algorithms of Wavelet Neural Network (WNN) are designed combining the advantages of both wavelet transform and Artificial Neural Network (ANN).
本文以电子战为背景，在雷达接收机中引入了小波神经网络，研究了系统的结构及自适应均衡算法。
A new structure of radar receiving equipment based on wavelet neural net works has been presented in this paper. Andthe adaptive equalization algorithm has been researched.
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.
结果表明，小波神经网络方法比传统BP网络方法平均预测误差减小了1%，收敛速度加快了3倍。
It is shown that, compared with the results from traditional BP neural network, the average error rate is reduced by 1% and the convergence speed raised by 3 times.
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.
并将小波神经网络非线性组合预测方法引入软基沉降预测中，以最大限度地提高软基沉降预测的准确性。
I also introduced wavelet neural network nonlinear combination forecast method in soft base settlement forecast to furthest advance the veracity of soft-base settlement forecast.
为了提高乳腺癌早期诊断的准确率，将小波理论与神经网络理论相结合提出改进的小波神经网络算法。
To improve early diagnosis accuracy of breast cancer, an improved wavelet neural network algorithm combining wavelet theory with neural network theory was proposed.
依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
研究证明，小波神经网络所建立的非线性误差校正模型有较好的预测效果，能够有效地预测非线性经济系统。
The results validate more validity of nonlinear error correction model on the wavelet neural network than linear vector autoregressive model, and forecast validly the nonlinear economy system.
将经过预处理的医学图像提取特征值，然后利用基于改进的小波神经网络算法的分类器对医学图像进行分类。
It extracted eigenvalues from pretreated medical images, and then classified medical images by using classifier based on improved wavelet neural network algorithm.
本文在对小波神经网络及其算法研究的基础上，提出了一种对脑电信号压缩表达和痫样脑电棘波识别的新方法。
A novel method of EEG signals compression representation and epileptiform spikes recognition based on wavelet neural network and its algorithm is presented in this paper.
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。
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。
WNN controller with the idea of neural networks inverse control is applied. Using multi-step predictive index function to train the weights of controller.
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