LS-SVM
Ls-SVM，即最小二乘支持向量机，是一种在模式识别、回归分析及分类任务中表现出色的机器学习方法。它通过将非线性问题转化为线性问题来简化计算过程，特别适用于解决小样本、高维度的数据处理难题。广泛应用于信号处理、故障诊断、图像识别等多个电子技术领域。掌握Ls-SVM不仅能够提升您在数据分析与智能系统开...
资源总数
526
LS-SVM 全部资料 526 份
A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learn
A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recogni...
2017-05-11
41
this a SVM toolbox,it is very useful for someone who just learn SVM.In order to be undestood easily,
this a SVM toolbox,it is very useful for someone who just learn SVM.In order to be undestood easily,the toolbox also con...
2013-12-31
40
基于自适应小波分解和SVM的模拟电路故障诊断
·摘 要:为了降低模拟电路参数故障的测试难度，提出了基于自适应小波分解和SVM的模拟电路故障诊断的新方法，该方法对电路故障响应进行小波分解提取最优故障特征，母小波的选择是根据被测电路的正常响应和故障响应小波系数之差的最大均方根原则，并引入支...
2024-10-24
10