本文提出了基于小波网络的非线性时间序列预报模型，探讨了非线性时间序列预报在故障预报中的应用。
Wavelet network based nonlinear time series prediction model is submitted, and nonlinear time series prediction and its application in fault prediction are discussed in this paper.
文中在建立软件系统开发商的评价指标体系的基础上，提出了基于小波网络的软件系统开发商的评价方法。
On the basis of building software system developers evaluation index system, a wavelet network based evaluation method for software system developers was proposed.
又小波网络较神经网络有更多的优点，通过比较，证实基于小波网络的非线性组合预测方法用于径流预报中更能提高预测的精度。
Compare to them, the result was that the nonlinear combinatorial forecasting method applying to the runoff forecasting based on the wavelet network can improve the forecast precision.
针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。
A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.
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.
提出一种基于二进小波变换与多层分组神经网络的自由手写体数字的多分辨率识别算法。
In this paper, a new scheme of multiresolution recognition of unconstrained handwritten numerals based on dyadic wavelet transform and multilayer cluster neural network is presented.
根据舰船轴频电场信号的特点，提出了基于小波变换和神经网络的目标识别和分类方法。
According to the characteristic of shaft-rate electric field of ships, the recognition and classification methods of ship targets based on wavelet transform and neural network were proposed.
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.
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。
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.
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.
针对同一场景多聚焦图像的融合问题，提出了一种基于小波变换的自适应脉冲耦合神经网络(PCNN)图像融合方法。
Concerning the fusion problem of multi-focus image with the same scene, an algorithm of image fusion based on wavelet transform and adaptive Pulse Coupled Neural Network (PCNN) was proposed.
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).
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。
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.
在研究大量参考文献的基础上，本文提出了船舶横摇运动基于二进小波神经网络整定的智能PID控制算法。
On the base of a great deal of reference literatures, intelligent PID control algorithm of ship roll motion based on dyadic wavelet neural network has been proposed.
采用的方法中构建了基于自适应小波神经网络的油水两相流质量流量软测量模型，实现了两相混合总质量流量的测量。
A soft-measurement model based on the adaptive wavelet neural network was developed to measure the total mass flow-rate of oil-water two-phase flow.
提出一种基于小波变换与BP神经网络相结合的方法来实现小电流接地系统单相接地故障定位。
In this paper, the method based on the combination of wavelet transform and BP neural network is presented to realize fault location for the single-phase-to-earth fault in non-direct-ground systems.
文章提出一种基于多分辨率学习的正交基小波神经网络结构的设计方法，网络权值的学习采用阻尼递推最小二乘算法。
A designing method of wavelet neural network structure based on multiresolution learning is put forward, and the studies of network weights adopt damped least squares.
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.
在分析现有三极管放大电路故障诊断算法不足的基础上，提出了一种基于模型的小波-RBF网络故障诊断算法。
The shortages of existed faults diagnosis algorithm for transistor are analyzed, and a novel algorithm based on wavelet decomposition and RBF ANN is proposed.
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。
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.
针对红外图像存在的对比度差、信噪比低等问题，提出了一种基于小波和侧抑制网络的红外图像对比度增强算法。
For infrared image with the characteristics of low contrast and low signal-to-noise, a infrared image enhancement method based on Wavelet Transform and Lateral Inhibition Network is presented.
把信息熵、小波分析和神经网络相结合，提出了基于小波神经网络的加工过程自适应控制系统度其自适应拉制算法。
Combining information entropy, wavelet analysis with neural network, an adaptive control system and an adaptive control algorithm are presented for machining process based on wavelet neural network.
研究边坡位移混沌时间序列的预测，利用混沌系统的相空间重构理论，提出基于小波神经网络的边坡位移预测方法。
This paper studies the chaotic time series of the slope displacement forecast. Using the theory of reconstructing phase space in the chaotic time series.
将基于MGS算法的NARMAX模型结构与参数辨识的一体化算法和小波网络相结合，提出一种改进的小波网络学习算法。
Combining wavelet networks with a kind method of model structure design and parameter estimation of NARMAX model, a modified wavelet network training scheme is proposed.
提出一种基于正交基函数的小波神经网络设计方法，采用多分辨率学习确定隐含层结构，并用收敛较快的阻尼最小二乘法训练权值。
In this approach the network structure is determined by multiresolution learning, and the weights are trained by damped least squares which has fast convergent rate.
提出一种基于正交基函数的小波神经网络设计方法，采用多分辨率学习确定隐含层结构，并用收敛较快的阻尼最小二乘法训练权值。
In this approach the network structure is determined by multiresolution learning, and the weights are trained by damped least squares which has fast convergent rate.
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