搜索资源列表
Gini-SVM
- 一种新的SVM算法，性能很好。我经过好多验证的，请放心使用-a new SVM algorithm, a very good performance. I read a lot of certification, please rest assured that the use of
smo_C
- 求解SVM问题的一种高效算法，每次更新两个a
pattern_recognition_v6.1
- 完整的模式识别库，包括矩阵运算，各种模式识别算法，如K均值、SVM、RVM、NN、LDA等
GOFuzzyv1.0
- 数据挖掘，多种聚类算法.FCM, HCM, SVM, 等各种柔性聚类方法。-Data mining, a variety of clustering algorithms. FCM, HCM, SVM, such as flexible clustering method.
numerical-recipe-code7
- 剑桥数据库源代码，包括sparse、spectrum、svd、svm、wavelet等算法-Cambridge database source code, including sparse, spectrum, svd, svm, wavelet algorithm
pls-svm
- 最小二乘结合支持向量机算法详细讲解，深入了解两算法的结合 -Least squares support vector machine algorithm combined with detailed explanations, in-depth understanding of the combination of two algorithms
libsvm
- 支持向量机程序，用VC++程序实现SVM算法-Support vector machine procedures, with VC++ program SVM algorithm
op_SVM
- svm优化算法，利用改进的随机森林对SVM参数进行优化，提高运算精度和速度。-SVM optimization algorithm, the parameters of SVM are optimized by using random forest improvement, improve the calculation precision and speed.
Svm.tar
- 遗传算法优化支持向量机，并计算AUC值,计算准确率-Genetic algorithm optimization support vector machine, and calculate AUC value
OSU_SVM3.00
- SVM工具箱 用于SVM算法做分类 线性建模，非线性软测量建模-SVM Toolbox
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.
Spectrum_Sensing_of_SVM-
- 有认知无线电CR的论文和Matlab代码，进行传统频谱感知算法的能量检测实现与SVM分类算法实现，两个进行对比检测概率性能，还有生成SVM三种核函数的分类检测图与统计三个错误率，得出SVM算法优于能量检测算法-Cognitive radio CR papers and Matlab code, perform traditional spectrum sensing algorithms to achieve energy detection and SVM classification alg
nengjou_v46
- 最小二乘回归分析算法，计算晶粒的生长，入门级别程序,包括最小二乘法、SVM、神经网络、1_k近邻法。- Least-squares regression analysis algorithm, Calculation of growth, entry-level program grains Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
nenjai
- 最小均方误差（MMSE）的算法，最小二乘回归分析算法，包括最小二乘法、SVM、神经网络、1_k近邻法。- Minimum mean square error (MMSE) algorithm, Least-squares regression analysis algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
leifan
- 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，分形维数计算的毯子算法matlab代码。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, For time-frequency analysis algorithm, Fractal dimension calculation algorithm matlab code blankets.
taotiu_V4.4
- 最小均方误差（MMSE）的算法，包括AHP，因子分析，回归分析，聚类分析，包括最小二乘法、SVM、神经网络、1_k近邻法。- Minimum mean square error (MMSE) algorithm, Including AHP, factor analysis, regression analysis, cluster analysis, Including the least squares method, the SVM, neural networks, 1 _k neigh
haihie_v85
- 本程序的性能已经达到较高水平，基于混沌的模拟退火算法，包括最小二乘法、SVM、神经网络、1_k近邻法。- The performance of the program has reached a high level, Chaos-based simulated annealing algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
SVM
- 回归分析，该支持向量机算法可用于预测，电力负荷、风力发电预测等(Regression analysis, the support vector machine algorithm can be used to forecast the power load, wind power prediction)
LS-SVM
- 最小二乘算法的改进，最小二乘SVM的实现！(Improvement of SVM by Least square SVM.)
支持向量机（Support Vector Machine, SVM）
- 支持向量机（support vector machine，SVM）是由Cortes和Vapnik在1995年提出的，由于其在文本分类和高维数据中强大的性能，很快就成为机器学习的主流技术，并直接掀起了“统计学习”在2000年前后的高潮，是迄今为止使用的最广的学习算法。(Support vector machine (support vector machine, SVM) is proposed by Cortes and Vapnik in 1995, because of its powerf