搜索资源列表
S200502106_SVM_for_classfication
- SVM用于模式识别 整理别人的代码（原来的是英文）所得： kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matla
SVMbyQuadprog
- This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.
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- 关于rbf神经网络实现图像分类的IEEE英文文献 和大家一起分享-A Technique for the Selection of Kernel-Function
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- 关于rbf神经网络实现图像分类的优化算法英文文献 源于著名期刊I-A METHOD FOR IMAGE CLASSIFICATION BASED ON KERNEL PCA
RBF-kernel-based-on-SVM-and-RVM-
- 基于RBF核的SVM及RVM模式分析性能比较.-RBF kernel based on SVM and RVM pattern analysis performance comparison.
svm_v251
- 用于模式分类和预测的方法——支持向量机的TOOLBOX的程序，核函数选择为 RBF核函数-Method for pattern classification and prediction- SVM TOOLBOX program, RBF kernel function is selected as the kernel function
libORF-master
- 针对各种机器学习，深度学习领域的一个matlab工具包-A machine learning library focused on deep learning.Following algorithms and models are provided along with some static utility classes: - Naive Bayes, Linear Regression, Logistic Regression, Softmax Regression, Linear S
rbf
- 径向基核函数测试函数，内含多个测试函数，可用于统计算法、支持向量机算法内核计算-Radial basis function kernel function test, includes a plurality of test functions
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
kernel_matrix_lk
- 基于lssvm的混合核函数，线性加权了线性核函数与RBF核函数。-weighted kernel function based on lssvm
Multi-Kernel-xxgh
- 多核RBF神经网络建模预测模型，实现六个核函数的多元回归集成-RBF function
1-Pattern_Recognition_Using_NAK_RBF
- 有关神经网络的code，来源于论文《A Novel Adaptive Kernel for the RBF Neural Networks》-About the neural network code, the paper " A Novel Adaptive Kernel for the RBF Neural Networks"
svm
- 基于RBF径向基核函数实现SVM支撑矢量机算法使用RBF，garma值为0.5-Based on RBF radial basis kernel function to achieve SVM support vector machine algorithm using Garma, RBF value of 0.5