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- Wavelet Support Vector Machine (WSVM) 小波支撑矢量机
- Based on least squares wavelet support vector machines (LS-WSVM) within the Bayesian evidence framework, a systematic method for fault diagnosis of analog circuits was proposed. 基于贝叶斯证据框架下的最小二乘小波支持向量机,设计了一种新型模拟电路故障诊断方法。
- Least Square Littlewood-Paley Wavelet Support Vector Machine 最小二乘Littlewood-Paley小波支持向量机
- Gyroscopic drift forecasting based on wavelet support vector machine 基于小波支撑矢量机的陀螺仪漂移预测
- least square Littlewood-Paley wavelet support vector machine(LS-WSVM) 最小二乘Littlewood-Paley小波支持向量机
- wavelet supporting vector machine 支持向量机
- Least squares wavelet support vector machines 最小二乘小波支持向量机
- Wavelet and support vector machine are used to classify the audio clips. 使用小波变换和支持向量机的方法对音频进行分类。
- wavelet support vector machine 小波支持向量机
- Least Squares Wavelet Support Vector Machines and Its Application to Nonlinear System Identification 最小二乘小波支持向量机在非线性系统辨识中的应用
- A method based on wavelet transform in combination with support vector machine (SVM) is proposed for localizing text region. 摘要提出了一种基于小波变换和支持向量机(SVM)在数字图像中定位文本的方法。
- This paper presented a lifting wavelet to construct a new wavelet function which could be used as an allowable kernel function for support vector machine(SVM). 摘要采用提升小波方法构造出一种满足双正交的小波函数，并将这种小波函数作为支持向量机的核函数；
- Wavelet packet decomposition (WPD) was applied to feature extraction of ultrasonic signals, chaos-genetic optimization to eliminate redundant and irrelevant features and support vector machine to perform the identification task. 该系统采用小波包分解提取超声信号的特征,采用混沌遗传算法来消除冗余和不相关的特征,并采用支持向量机(SVM)来对缺陷进行识别。 为了验证系统的有效性,在实验室内作了大量的超声检测实验。
- A texture classification algorithm based on Dual-tree Complex Wavelet Transform (DT-CWT) and Support Vector Machines (SVM) is proposed. 提出了一种基于双树复数小波变换(DT-CWT)和支持向量机(SVM)的纹理分类算法。
- The uploaded Support Vector Machine (SVM) Classifier can classify text-type data well. 详细说明:支持向量机分类器(可分类文本,编的非常不错)
- Support Vector Machine (SVM) , which based on Statistic Learning Theory, has the adaptive generation ability. 建立在统计学习理论基础之上的支持向量机具有和样本数相适应的最优泛化能力。
- A novel classification method for texture images was proposed by combining support vector machines(SVM) with dual-tree complex wavelet transform(DT-CWT). 提出了一种将支持向量机(SVM)和二元树复小波变换(DT-CWT)相结合的纹理图像分类方法。
- For this reason, several important properties of kernel function are discussed on the basis of support vector machine. 为此，在研究支持向量机的基础上，给出了核函数的若干重要性质。
- The support vector machine forecasting model is proposed to improve the accuracy. 为提高精度，提出了支持向量机非线性的组合预测模型。
- Handwritten number recognition based on support vector machine adopts the US post service database. 支持向量机的手写体数字识别中,采用美国邮政服务数据库。
