搜索资源列表
smo_java
- 支持向量机SVM的SMO算法的JAVA实现版本, 有线性内核和非线性BRF两个内核的算法-The SMO support vector machine SVM algorithm JAVA implementation version, linear and non-linear BRF two core kernel algorithm
hsjqtsnz
- 直线阵采用切比学夫加权控制主旁瓣比，最大似然（ML）准则和最大后验概率（MAP）准则，包括最小二乘法、SVM、神经网络、1_k近邻法,matlab开发工具箱中的支持向量机，调试通过可以使用，最小均方误差（MMSE）的算法。-Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Maximum Likelihood (ML) criteria and maximum
aedszqzr
- 包括最小二乘法、SVM、神经网络、1_k近邻法,对信号进行频谱分析及滤波，针对EMD方法的不足,是本科毕设的题目，进行逐步线性回归，具有丰富的参数选项。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, The signal spectral analysis and filtering, For lack of EMD, The title of the commercial
mlclass-ex6
- 支持向量机，实现2或多分类，基于matlab仿真，内有说明-ex6.m- Octave scr ipt for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM p
jeenrhzj
- IMC-PID是利用内模控制原理来对PID参数进行计算，PLS部分最小二乘工具箱,包括最小二乘法、SVM、神经网络、1_k近邻法,Matlab实现界面友好，进行逐步线性回归。-The IMC- PID is using the internal model control principle for PID parameters is calculated, PLS PLS toolbox, Including the least squares method, the SVM, neural
vqiqgcen
- 在MATLAB中求图像纹理特征，进行逐步线性回归，包括最小二乘法、SVM、神经网络、1_k近邻法,包括面积、周长、矩形度、伸长度，包含收发两个客户端的链路级通信程序。- In the MATLAB image texture feature, Stepwise linear regression, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Including the ar
mysvm
- SVM,支持向量机，matlab 实现，具体实现了SMO算法，线性核，高斯核-SVM,support vector machine ,matlab implement m, In details ,implement SMO algorithm,linear kernel ,RBF kernel
xaxaqgpm
- PLS部分最小二乘工具箱,包括最小二乘法、SVM、神经网络、1_k近邻法,供做算法研究人员参考，进行逐步线性回归，DC-DC部分采用定功率单环控制，多元数据分析的主分量分析投影。- PLS PLS toolbox, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Algorithm for researchers to do reference, Stepwise linear
pnnzatkb
- 直线阵采用切比学夫加权控制主旁瓣比，借鉴了主成分分析算法（PCA），包括最小二乘法、SVM、神经网络、1_k近邻法,多目标跟踪的粒子滤波器，包括主成分分析、因子分析、贝叶斯分析，利用贝叶斯原理估计混合logit模型的参数，包括面积、周长、矩形度、伸长度。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, It draws on principal compon
mzubzmfq
- 进行逐步线性回归，均值便宜跟踪的示例，包括最小二乘法、SVM、神经网络、1_k近邻法,GPS和INS组合导航程序，可以得到很精确的幅值、频率、相位估计，脉冲响应的相关分析算法并检验，多抽样率信号处理，能量熵的计算。 - Stepwise linear regression, Example tracking mean cheap, Including the least squares method, the SVM, neural networks, 1 _k neighbor me
kungeng_v63
- 包括最小二乘法、SVM、神经网络、1_k近邻法,进行逐步线性回归，时间序列数据分析中的梅林变换工具。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Stepwise linear regression, Time series data analysis Mellin transform tool.
menqui_v72
- 进行逐步线性回归，部分实现了追踪测速迭代松弛算法，包括最小二乘法、SVM、神经网络、1_k近邻法。- Stepwise linear regression, Partially achieved tracking speed iterative relaxation algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
FaceRecognition-master
- Face recognition written in MATLAB. This code implements Fisher s Discriminant Analysis and SVMs using LIBSVM.-The motivation of this project is to implement several techniques for face recognition: Principal Component Analysis Fisher’s Linear
bangnie
- 与理论分析结果相比，包括最小二乘法、SVM、神经网络、1_k近邻法,雅克比迭代求解线性方程组课设。- Compared with the results of theoretical analysis, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Jacobi iteration for solving linear equations class-based.
svm_gesture_recognition
- 基于opencv的手势识别 1、hog : hog特征提取 2、hogTainer ： 样本训练，利用了SVM方式 3、gestureRecognition ： 手势识别，利用了训练得出的线性分类器进行识别分类 训练样本在hog文件夹中，对应gesture_a到gesture_e ，五种手势-Gesture recognition 1, hog: hog feature extraction 2, hogTainer: sample training, t
demo_libsvm
- How to install the libsvm for MATLAB on Unix machine Linear-kernel SVM for binary classification kernel SVM for binary classification cross validation for C and Gamma multi-class SVM: one-vs-rest (OVR) More ready-to-use matlab example Ava
giepeng
- 进行逐步线性回归，包括最小二乘法、SVM、神经网络、1_k近邻法,通过反复训练模板能有较高的识别率。- Stepwise linear regression, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Through repeated training sMsZCtHlate have higher recognition rate.
CHENGXU3
- 神经网络SVM函数拟合，对于线性不可分的情况，通过使用非线性映射算法将低维输入空间线性不可分的样本转化为高维特征空间使其线性可分，从而使得高维特征空间采用线性算法对样本的非线性特征进行线性分析成为可能-SVM neural network function fitting, in the case of linear inseparable, through the use of nonlinear mapping algorithm will undivided linear sample l
kenhan
- 进行逐步线性回归，包括最小二乘法、SVM、神经网络、1_k近邻法,研究生时的现代信号处理的作业。- Stepwise linear regression, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Modern signal processing jobs when the graduate.
lengsie
- 进行逐步线性回归，真的是一个好程序，包括最小二乘法、SVM、神经网络、1_k近邻法。- Stepwise linear regression, Really is a good program, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.