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最小二乘支持向量机工具箱，学习支持向量机必备工具-Least squares support vector machine toolbox, an indispensable tool for learning support vector machines
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一篇关于支持向量机在故障诊断方面的优秀博士论文，值得参考此文献。-An article on Support Vector Machines in Fault Diagnosis of the outstanding aspects of the doctoral thesis, it is also useful in this literature.
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Sequential Minimal Optimization- A Fast Algorithm for Training Support Vector Machines
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有关支持向量机的讲座,我看了之后的确受益非浅-Support Vector Machines on the talks, after I read indeed benefited
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模糊支持向量机文档，将模糊理论与支持向量机相结合-FSVM documents, the fuzzy theory and support vector machines combine
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这是excel格式的一个文件，它的功能是将文件数据转化为支持向量机所需数据形式的一个宏-This is an excel document format, which is to document the functional data into the data needed to support vector machines form of a macro. . .
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Support Vector Machines Ensemble and its Application in Remote Sensing Classification支持向量机在遥感图像中的应用-Support Vector Machines Ensemble and its Application in Remote Sensing Classification
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Support Vector Machines paper
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soft computing and support vector machines regression
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实现序贯最小优化算法，该算法可加速求解支持向量机问题-To achieve sequential minimal optimization algorithm that can accelerate the problem solving support vector machines
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利用支持向量机对T-S型模糊系统建模的方法，结合BP算法对参数进行优化，从一定程度上解决模糊系统建模所存在的模型结构复杂、维数灾、泛化能力不强和实时性差等问题。-this paper analyzed the approach that applied support vector machines to create novel model in the T-S fuzzy system, combined with BP algorithm which could optimize it,
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现在关于支持向量机的应用已经非常的广泛，可是大家都对它的原理及应用不是很熟悉，希望本文件会对你有所帮助！-Now the application of support vector machines have been very extensive, but all it is not very familiar with the theory and application, I hope this document will help you!
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Working Set Selection Using Second Order Information for Training Support Vector Machines
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Gabor wavelet transform applied to feature extraction of ophthalmic images.
We investigate a new approach for measuring ocular
refractive errors (astigmatism, near-sightedness and shortsightedness)
from images of the human eye [1]. This
ap
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support vector machines
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LIBSVM使用细则。LIBSVM是一个支持向量机（SVM）库。它的目标是帮助用户方便地使用SVM作为一种工具。在这份文件中，我们目前所有及其实施细则。LIBSVM使用，README文件包中包含LIBSVM常见问题提供信息。
-LIBSVM is a library for support vector machines (SVM). Its goal is to help users to easily use SVM as a tool. In this document, we pre
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支持向量机曲线拟合中的应用，核函数均采用高斯核-Gaussian kernel support vector machines curve fitting, kernel function
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支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，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。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合-Support vector machines and BP neural network can be used for non-linear regression f
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支持向量机大规模快速算法，适合初学者学习研究-Large-scale fast algorithm for support vector machines
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svm support vector machines
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