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利用回转窑生产氧化铝的工艺中,提出了一种新的基于SVR(支持向量回归)的烧成带温度软测量方法。即首先对从回转窑采集到的烧结图像进行预处理,消除噪声的干扰;然后利用大津方法分割出物料区和火焰区,并提取这些区域的图像特征;其次利用基于SVR方法建立的烧成带温度模型计算温度值;参数计算.
Date : 2008-10-13 Size : 1.11kb User : 张曦月

利用回转窑生产氧化铝的工艺中,提出了一种新的基于SVR(支持向量回归)的烧成带温度软测量方法。即首先对从回转窑采集到的烧结图像进行预处理,消除噪声的干扰;然后利用大津方法分割出物料区和火焰区,并提取这些区域的图像特征;其次利用基于SVR方法建立的烧成带温度模型计算温度值;参数计算.-The use of alumina rotary kiln production process, a new-based SVR (support vector regression) of the burning zone temperature soft measurement method. That is first collected from the rotary kiln sintering image pre-processing to eliminate noise interference Otsu method and then use the materials division of the district and flame zones, and extraction of image features in these regions SVR-based method followed by the establishment of the burning zone temperature model temperature parameters.
Date : 2025-12-25 Size : 1kb User : 张曦月

该matlab源码实现了基于SVR图像超去噪算法-This is a sample Matlab demo code to reproduce the SVR image denoising results
Date : 2025-12-25 Size : 1.7mb User : sinoer

LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包,他不但提供了编译好的可在Windows系列系统的执行文件,还提供了源代码,方便改进、修改以及在其它操作系统上应用;该软件对SVM所涉及的参数调节相对比较少,提供了很多的默认参数,利用这些默认参数可以解决很多问题;并提供了交互检验(Cross Validation)的功能。该软件包可在http://www.csie.ntu.edu.tw/~cjlin/免费获得。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题,包括基于一对一算法的多类模式识别问题-The LIBSVM Is Taiwan University Chih- Jen Lin (Lin Chih-Jen) Associate Professor of the development and design of a simple, easy to use and fast and efficient SVM pattern recognition and regression package, he not only compiled perform file system in the Windows series also provides source code to facilitate the improvement modifications and applications on other operating systems the software adjust the parameters involved in SVM is relatively small, a lot of the default parameters, use these default parameters can solve a lot of problems and provide cross-validation (Cross Validation) function. The package can http://www.csie.ntu.edu.tw/ ~ cjlin/free access. The software can solve the problem of the C-SVM, ν-SVM, ε-SVR and ν-SVR, including the multi-class pattern recognition problem based on a one-to-one algorithm
Date : 2025-12-25 Size : 656kb User : 王炜豪

SVM平台,操作简单、易于使用的通用SVM 软件包,可以解决分类问题(包括C- SVC、n - SVC )、回归问题(包括e - SVR、n - SVR )以及分布估计(one-class-SVM )等问题,提供了线性、多项式、径向基和S 形函数四种常用的核函数供选择。-SVM platform is a simple, easy to use, versatile SVM software package can solve classification problems (including C-SVC, n- SVC), regression (including e- SVR, n- SVR) and distribution estimation (one-class-SVM) and other issues, providing a linear, polynomial, radial basis functions and the S-shaped four commonly used kernel functions for selection.
Date : 2025-12-25 Size : 619kb User : 凡轩

用支持向量机svm实现分类与函数回归,其中包括svc程序,svc输出程序以及svr绘图程序-Classification and function regression using support vector machine svm, including svc program, svc output of the program as well as a drawing program svr
Date : 2025-12-25 Size : 78kb User : gongwenwen
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