短期负荷预测（一种基于小波变换支持向量机的负荷预测程序）

支持向量机用于实验数据拟合分类优化,速度快,Support Vector Machines for classification optimization of the experimental data fitting, fast

采用“纹理识别”的方式进行笔迹鉴别，利用Gabor变换提取不同频率、不同方向的笔迹特征，最后使用KNN或SVM（支持向量机）对待测样本进行类别判别。-A " texture recognition" approach to handwriting identification using Gabor transform to extract different frequency, the handwriting characteristics of different dir

基于小波和支持向量机的电能质量监测分类算法例程-Based on wavelet and support vector machine classification algorithm routine power quality monitoring