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Description: 一些MATLAB SVM的分类器程序winsvm，希望可以对大家有用-very good
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Size: 10625024 |
Author: 松林 |
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Description: 用matlab实现非线性支持向量机分类器对多类进行分类。-Using matlab to achieve non-linear support vector machine classifier for multi-class classification.
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Size: 3072 |
Author: rosalyn |
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Description: 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
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Size: 254976 |
Author: 王娟 |
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Description: 用PCA 和 SVM 做的人脸识别程序，与大家分享！-To do with PCA and SVM face recognition program, to share with you!
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Size: 230400 |
Author: FYAC |
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Description: 支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。-SVM and BP neural networks, although non-linear regression can be used to do, but they are based on different theoretical basis, the return mechanism is not the same. SVM based on structural risk minimization theory, generally considered the generalization ability of neural networks than strong. To test this view, a support vector machine of this writing the general non-linear regression procedures and based on Matlab neural network toolbox of the BP neural network simulation module, the simulation results confirm that support vector machines do not only the generalization ability of non-linear regression in BP network, and neural networks to avoid the inherent shortcomings- the training results unstable.
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Size: 11264 |
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Description: matlab SVM工具箱 应用于SVM的matlab操作-matlab SVM matlab toolbox used in the operation of SVM
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Size: 376832 |
Author: 秦志恒 |
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Description: 这是我在网上找了很久的多分类支持向量机matlab代码，欢迎交流！-This is my search on the net for a long time many classification support vector machine matlab code, welcome exchanges!
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Size: 399360 |
Author: chenzaoxin |
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Description: very useful matlab SVM algorithm for data mining-very useful matlab SVM algorithm for data mining..............
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Size: 2048 |
Author: dada |
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Description: SVM(Support Vector Machine) 支持向量机算法，遥感影像分类，matlab(SVM (Support Vector Machine) support vector machine algorithm, remote sensing image classification, matlab)
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Size: 4766720 |
Author: 佳灵大人
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Description: implement svm in matlab
dataset is pima
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Size: 11264 |
Author: minoo
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Description: MATLAB支持向量机，编程实现，已用C语言转，内附Windows x64和x32(MATLAB SVM Programming implementation, has been used in C language, Windows x64 and X32)
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Size: 96256 |
Author: anzong
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Description: 在matlab中的代码，SVM进行心脏病分类，很基本的回归和分类样例(The code in MATLAB, SVM for heart disease classification, very basic regression and classification examples)
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Size: 18432 |
Author: custhaiyang
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Description: To investigate the usage of matlab.
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Size: 2048 |
Author: kwk_1995 |
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Description: SVM(Support Vector Machine)指的是支持向量机，是常见的一种判别方法。在机器学习领域，是一个有监督的学习模型，通常用来进行模式识别、分类以及回归分析。
Vapnik等人在多年研究统计学习理论基础上对线性分类器提出了另一种设计最佳准则。其原理也从线性可分说起，然后扩展到线性不可分的情况。甚至扩展到使用非线性函数中去，这种分类器被称为支持向量机(Support Vector Machine，简称SVM)。支持向量机的提出有很深的理论背景。
支持向量机方法是在后来提出的一种新方法。
SVM的主要思想可以概括为两点:
它是针对线性可分情况进行分析，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。
它基于结构风险最小化理论之上在特征空间中构建最优超平面，使得学习器得到全局最优化，并且在整个样本空间的期望以某个概率满足一定上界。(442/5000
SVM(Support Vector Machine) refers to Support Vector Machine, which is a common discriminant method. In the field of machine learning, it is a supervised learning model, which is usually used for pattern recognition, classification and regression analysis.
Vapnik et al. proposed another design criterion for linear classifier on the basis of years of statistical learning theory. The principle is also derived from linear separability, and then extends to linear inseparability. Even extending to the use of nonlinear functions, this classifier is called Support Vector Machine (SVM). The support vector machine has a deep theoretical background.)
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Size: 633856 |
Author: 飛上云端 |
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Description: 基于MATLAB平台的神经网络的30个案例(30 cases of neural network based on MATLAB platform)
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Size: 7572480 |
Author: smilingcost |
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Description: 基于MATLAB平台的机器学习的43个案例(43 cases of neural network based on MATLAB platform)
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Size: 12923904 |
Author: smilingcost |
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Description: svm预测算法实现案例，详细可靠，希望对大家有帮助(SVM prediction algorithm implementation case, detailed and reliable, we hope to help everyone.)
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Size: 162816 |
Author: ia1565155 |
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Description: 使用SVM算法实现数据分类预测，编程使用MATLAB实现(SVM algorithm is used to realize data classification and prediction, and programming is realized by MATLAB.)
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Size: 7168 |
Author: sunshinelv |
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Description: SVM分类用于高光谱遥感图像分类、预测....................(SVM classification for classification and prediction of hyperspectral remote sensing images)
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Size: 6014976 |
Author: 格子码 |
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Description: 植物虫害检测（GUI，注释，svm算法）
该课题为基于MATLAB SVM方法的植物病害检测系统，带GUI界面，可以识别多种被虫害侵蚀的植物叶子，输出结果。带论文和详细注释。
train 对黄瓜子文件夹所有图片提取 颜色矩特征和gabor纹理特征，然后svm训练
test 对测试图像灰度化，滤波，提取 颜色矩特征和gabor纹理特征，然后svm模型测试，输出类别
colorMom.m 颜色矩特征提取
Gabor_palm.m gabor纹理特征提取(Plant pest detection (GUI, annotation, SVM algorithm)
The project is a plant disease detection system based on MATLAB SVM method, with GUI interface, which can identify a variety of plant leaves eroded by pests and output results. With paper and detailed notes.
Train extracts color moment features and Gabor texture features from all the pictures in the sub folder of cucumber, and then SVM trains them
Test grayscale and filter the test image, extract color moment features and Gabor texture features, then SVM model test, output category
Colormom. M color moment feature extraction
Gabor u Palm. M Gabor texture feature extraction)
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Size: 6463488 |
Author: for Matlab |
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