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guihuaxuexi
- 只是神经网络学习中的一个非常重要的章节，讲的是规划学习，支持向量机。-Neural network learning is a very important chapter, learn about the planning, support vector machines.
svm
- SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。-The basic idea of SVM method are: the definition of the optimal linear hyperplane,
SVP
- 支持向量机用于分类程序，是我的毕业论文程序。-Support vector machines for classification procedures, is my thesis process.
SVMhybridsystem
- A distributed PSOSVM hybrid system with feature selection and parameter optimization -Abstract This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to improve the clas
ReviewofSVM-basedControlandOnlineTrainingAlgorithm
- 支持向量机以其模型结构简单、较好的推广能力和全局最优解等特点已经被用来进行智能 控制的研究，主要包括采用支持向量机回归的非线性时间序列的建模与预测、系统辨识等建模方 面的研究以及优化控制、学习控制和预测控制等方面的研究以及采用支持向量机的故障诊断的研 究。由于现有SVMR基于二次规划的优化方法不适合控制过程的在线训练，因此出现了对SVMR 在线训练算法的研究。分析了国内外这些研究内容的最新研究进展，旨在探讨归纳支持向量机在控 制领域研究的主要成果和存在的问题，以便为进一步的研
SupportVectorMachineasanEfficientFrameworkforStock
- Abstract Advantages and limitations of the existing models for practical forecasting of stock market volatility have been identified. Support vector machine (SVM) have been proposed as a complimentary volatility model that is capable to extract i
Supportvectormachinebasedbatterymodelforelectricve
- The support vector machine (SVM) is a novel type of learning machine based on statistical learning theory that can map a nonlinear function successfully. As a battery is a nonlinear system, it is difficult to establish the relationship between th
semi-surpervised_learing
- 对传统的支持向量机分类器的改进,利用了半监督学习的方法，可以极大的提高分类效率。-The traditional support vector machine classifiers is improved with a semi-supervised learning methods, can greatly improve classification efficiency.
Semi-Supervised_Learning_With_SVMs
- 利用支持向量机进行半监督学习的详细的文档，包括了部分伪代码，具有很大的参考价值-Using support vector machine semi-supervised learning of detailed documentation, including some pseudo-code, has great reference value
sf1847
- 数据挖掘建模工具，轻易实现BP神经网络、RBF神经网络、灰色系统、决策树、决策表、贝叶斯、懒惰算法、支持向量机、K均值聚类、Apriori关联规则、HotSpot关联规则、回归分析、指数平滑、季节移动平均及组合等算法建模。-Data mining modeling tools, easy to achieve BP neural network, RBF neural network, gray system, decision tree, decision table, Bayesian, l
supportvectormachine
- svm 支持向量机代码 support vector machine-support vector machine svm
1
- 支持向量机和遗传算法的课件，希望多交流-Support vector machine and genetic algorithm courseware, I hope more exchanges! ! ! !
2
- 包含支持向量机基础的解释到完善的理论证明。希望有用-Including support vector machine-based interpretation of the perfect in theory. Hope helpful! ! ! !
abbr_b11a93e762f6958bb657c1ad7c58d2b5
- 用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取-MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract
svm
- 基于MATLAB的支持向量机工具箱，好用-Support vector machine based on MATLAB toolbox, easy to use
support_vector_machine_a_new_method_for_data
- 数据挖掘中的新方法：支持向量机 数据挖掘中的新方法——支持向量机 很全面系统介绍支持向量机的一本书-book about support vector machine ,SVM a new method for data...
libsvm-2.91.tar
- 支持向量机SVM软件包，很不错的，非常好的软件包-Support vector machine SVM package, very good, very good package
svmlight-6.01
- 这个源码是用来学习支持向量机的，里面包含了多核函数。-This source is used to support vector machine learning, which includes multi-core function.
smo-java
- Support Vector Machine with java
svm
- java program for Support Vector Machine