1)wavelet support vector machine小波支持向量机
1.Short-term load forecasting based on wavelet support vector machine and phase space reconstruction;小波支持向量机与相空间重构结合的短期负荷预测研究
2.Based on the powerful nonlinear mapping ability of support vector machines and the ability of wavelet kernel function in analyzing locally and extracting characteristic features from time series,the short-term power load forecasting method of wavelet support vector machines(WSVM) in combination with delay coordinate phase reconstruction of chaotic time series is proposed.根据相空间延迟坐标重构理论,基于支持向量机强大的非线性映射能力和小波核函数的局部分析和特征提取能力,提出了一种基于小波支持向量机的电力系统短期负荷预测方法,并利用该方法对嵌入维数与预测性能的关系进行了探讨。
3.Considering the nonlinearity,complexity and randomicity of elevator traffic flow,the prediction model of elevator traffic flow based on wavelet support vector machines was proposed.考虑到电梯交通流本身所存在的非线性、复杂性和随机性,提出了一种基于小波支持向量机的电梯交通流预测模型。
英文短句/例句
1.Application of Wavelet Support Vector Machine in Modeling for Fermention Process小波支持向量机在发酵过程中的应用
2.DNA classification based on Least Square Wavelet Support Vector Machine最小二乘小波支持向量机的DNA序列分类方法
3.Remote Sensing Image Compression Using Wavelet Support Vector Machine;小波支持向量机在遥感图像压缩中的应用
4.The Research and Application of Wavelet Support Vector Machines in Data Modeling;小波支持向量机在数据建模中的研究及应用
5.Wavelet Support Vector Machine Model Based on Genetic Algorithm and Its Application;基于遗传算法的小波支持向量机模型及其应用
6.WSVMs-based Prediction Model of Elevator Traffic Flow基于小波支持向量机的电梯交通流预测模型
7.Nonlinear Emendation for Sensor Based on Wavelet Kernel Support Vector Machine基于小波支持向量机的传感器非线性校正
8.Equalizer based on wavelet kernel support vector machine基于小波核支持向量机的均衡器研究
9.A classification method of fuzzy wavelet network based on wavelet framework SVM小波框架支持向量机的模糊小波网络分类方法
10.Prediction of Melt Index Based on Wavelet and LS-SVM基于小波-最小二乘支持向量机的熔融指数预测
11.A Study of Face Recognition Methods Based on Wavelet and SVM;基于小波和支持向量机的人脸识别方法研究
12.The Fault Diagnosis of the Roller Bearing Based on the Wavelet and SVM;基于小波与支持向量机的滚动轴承故障诊断
13.Texture Image Segmentation on Gabor Wavelet Transform and SVM;基于Gabor小波变换与支持向量机的纹理图像分割
14.Face Recognition Based on Gabor Wavelet Transform and Support Vector Machine;基于Gabor小波变换与支持向量机的人脸识别研究
15.License Plate Recongnition Based on Wavelet Transform and Support Vector Machines基于小波变换与支持向量机的车牌识别
16.Study on the Earthquake Forecast Based on Support Vector Machine and Wavelet Analysis基于支持向量机和小波分析的地震预测研究
17.The Study of Audio Classification Based on Wavelet and Support Vector Machine基于小波和支持向量机模型的音频分类研究
18.The Application of Support Vector Machine in Wavelet Packet De-Noising支持向量机在小波包去噪方法中的应用
相关短句/例句
wavelet packet-SVR小波包-支持向量机回归
1.First,wavelet packet-SVR(Support Vector Regression) prediction model is constructed.首先建立网络带宽负载和CPU、内存综合性能负载的小波包-支持向量机回归混合预测模型;然后根据用户请求的类型,结合负载预测的结果对任务进行分配和调度。
3)least square Littlewood-Paley wavelet support vector machine(LS-WSVM)最小二乘Littlewood-Paley小波支持向量机
4)Least Square-Wavelet Support Vector regression最小二乘小波支持向量回归机
5)least squares wavelet support vector machine最小二乘小波支持向量机
1.Aiming at the characteristics of early fire information,a least squares wavelet support vector machine(LS-WSVM) multi-class classification method based on binary tree was presented.针对早期火灾信息特点,提出了一种基于二叉树的最小二乘小波支持向量机(Least squareswavelet support vector machine,LS-WSVM)多类分类方法。
6)wavelet support vector regression小波支持向量回归
延伸阅读
支持向量机方法支持向量机(SVM)是90年代中期发展起来的基于统计学习理论的一种机器学习方法，通过寻求结构化风险最小来提高学习机泛化能力，实现经验风险和置信范围的最小化，从而达到在统计样本量较少的情况下，亦能获得良好统计规律的目的。支持向量机算法是一个凸二次优化问题,能够保证找到的极值解就是全局最优解，是神经网络领域域取得的一项重大突破。与神经网络相比，它的优点是训练算法中不存在局部极小值问题，可以自动设计模型复杂度(例如隐层节点数)，不存在维数灾难问题，泛化能力强。
