搜索资源列表
SVM-MATLAB
- 本文是一篇名为“基于SVM的石油勘探算法研究”的硕士论文，文中应用MATLAB进行算法实现，给出了详细的设计思路，各种不同方法的图像对比，区县调整，是一片相当不错的文章。-This is the one entitled "SVM Based Algorithm for oil exploration," the master's thesis, text MATLAB algorithm is given a detailed design ideas, diffe
svm
- 人工智能实验课程，SVM用MATLAB实现的，很简单
SVM
- 在matlab环境下实现的算法，该算法主要实现SVM分类的算法，svm入门-In the matlab environment to achieve algorithm to achieve SVM classification of the main algorithm, character recognition by SVM to achieve
libsvm
- 台湾最著名的SVM支持向量机实现工具libsvm的使用说明，中文简体文档，是学习svm的有力工具-a study document for libsvm,a famous svm tool
svm
- 非线性svm实现样本点的分类，并输出图像，输入数据为矩阵-Nonlinear svm to achieve a classification of the sample points, and the output image, the input data matrix
Custom-Evaluation
- 提出一种基于粗糙集与支持向量机的客户动态评估方法。根据客户群特点从当前价值、潜在价值和附加价值三个维度分析并构建客户评估指标，利用指标的年增幅率监测客户价值的变化规律。应用粗糙集布尔推理算法、粒子群算法实现连续属性离散化和知识约简。通过10-重交叉验证和网格搜索技术获取最优惩罚因子与核参数，缩放样本数据集并完成支持向量机一对一分类器的训练与测试。结果表明该评估方法能够实现周期性的客户价值评估与细分，具有很强的泛化能力。- A customer dynamic evaluation method
fsals-svm
- 此算法实现了SVM的分类，很实用很强大的程序，可供使用。-This algorithm of SVM classification, it is very powerful and practical procedures for use.
ND-Flevoland_label
- 快速稀疏svm算法实现图像分类，有需要者可以共同讨论-Fast sparse svm algorithm for image classification, there are those who need to discuss
SVMLight_vc
- svm light vc++实现，大家可以参考参考-svm light vc++ achieve, we can refer to reference
A-Novel-FPGA-based-SVM-Classifier
- 基于FPGA的SVM算法实现，文章主要从架构设计和硬件实现方面提供了设计思路，对于SVM的硬件开发特别是FPGA实现有指导意义-A Novel FPGA-based SVM Classifier
svmgdm1
- 支持向量机SVM(Support Vector Machine)作为一种可训练的机器学习方法，主要是关于SVM在matlab中实现的实例代码-Support Vector Machine SVM (Support Vector Machine) as a trainable machine learning methods, mainly with regard to instances of SVM implemented in matlab code
MainPlot
- 基于支持向量机的算法分类主程序，该算法是基于libsvm工具箱实现的能很好的实现分类的性能-Matlab sVM learning algorithm
LS-SVM-diagnostic
- 给出了基于LS一SVM故障诊断方法的实现步骤,并通过实例验证了其在复杂工业过程故障诊断中的有效性-the fault diagnostic scheme based on LS-SVM is presented. Relevant examples are given to show the availability of fault diagnosis based on LSSVM.
HadoopPSVM
- 基于Hadoop和Spark环境下的SVM分类的实现，该包括Spark环境配置。-Spark and implement SVM classification Hadoop-based environment, which includes Spark environment configuration. .
njvvi
- 包括最小二乘法、SVM、神经网络、1_k近邻法,用于时频分析算法，各种资源分配算法实现。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, For time-frequency analysis algorithm, Various resource allocation algorithm.