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Description: 构建结合GHSOM和SVR的外汇市场交易系统结合GHSOM和SVR-A foreign exchange market trading system by combining GHSOM and SVR
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Size: 1336320 |
Author: SUNCHEN |
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Description: 对结构的隐式功能函数的可靠度分析，分别采用ANN SVR和RSM建立代理模型-Reliability analysis of the structure of the implicit function, respectively, using the ANN SVR and RSM agent model
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Size: 1024 |
Author: |
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Description: SMO算法的m文件以及用svr测试该算法的m文件，以及smo算法文档详细介绍及使用说明-The SMO algorithm m file and test the algorithm using SVR m files, as well as the SMO algorithm document details and instructions
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Size: 632832 |
Author: ivy |
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Description: Dropbear - a SSH2 server for Linux Device.
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Size: 3072 |
Author: viesuening |
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Description: Validates a user password using PAM.
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Size: 3072 |
Author: qiusaron |
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Description: SSH client implementation.
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Size: 2048 |
Author: zaihipu |
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Description: This file (auth.c) handles authentication requests, passing it to the particular type (auth-passwd, auth-pubkey).
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Size: 4096 |
Author: youxeihue |
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Description: Validates a user password.
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Size: 2048 |
Author: wuesicao |
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Description: Handle a diffie-hellman key exchange initialisation.
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Size: 2048 |
Author: caigerkin |
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Description: Process a pubkey auth request.
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Size: 3072 |
Author: yonvingqin |
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Description: LS-SVR1.8工具箱及使用说明,最小二乘支持向量机-LS-SVR MATLAB
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Size: 2142208 |
Author: 康业浩 |
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Description: Online SVR工具箱，实现对数据的在线回归和分类。-Online SVR toolbox to achieve the online data regression and classification.
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Size: 41984 |
Author: 许森森 |
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Description: 非线性控制系统的支持向量机辨识建模研究
针对非线性控制系统辨识建模难的问题， 系统研究了基于支持向量机的非线性控制系统的辨识建模理论和方法，
然后利用回归型支持向量机( Support Vector Regression， SVR) 设计了一个非线性控制系统的辨识建模系统 仿真试验结果表明， SVR 具有很高的建模精度和较强的泛化能力， 从而验证了该辨识方法的有效性和先进性。-Nonlinear Control Systems Support Vector Machine Identification Modeling modeling for nonlinear control system identification difficult problem, the system studied based on support vector machine identification modeling nonlinear control systems theory and method, and then use the support vector regression machines (Support Vector Regression, SVR) designed a nonlinear control system identification modeling system simulation results showed that, SVR modeling with high accuracy and generalization ability, in order to verify the validity of the identification method and advanced.
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Size: 390144 |
Author: 东土大唐 |
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Description: 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.
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Size: 633856 |
Author: 凡轩 |
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Description: 实现支持向量回归，能够实现小样本的回归预测分析-Regression analysis to realise the prediction base on small sample
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Size: 3072 |
Author: 非洲之心 |
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Description: 分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.-Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.
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Size: 4320256 |
Author: 王斌 |
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Description: 本系统支持通过互联网进行家庭办公，无需域名，数据库服务器可以部署在企业内网，非常安全。
服务端控制文件rlogin.svr，为从互联网接入的控制文件，如果允许从互联网接入，请把dll目录下的rlogin.svr复制到上级。
同时在rlogin.svr里面编辑允许接入的用户。
逐条编写允许接入的用户名和账号，格式如下：
eid = your_company(填写公司标识)
user = 用户名.口令
user = guest.guest
user = bbbbb.ccccc
#客户端访问的控制文件为rlogin.cli,格式如下：
#如果需要通过互联网访问，请把dll目录下的rlogin.cli复制到oclient执行目录，同时向管理员索取mid、user和pwd。
mid = xxxx(填写oserver的远程服务标识码)
eid = your_company(填写公司标识)
user = aaaa(填写用户名)
pwd = bbbb(填写口令)
-The system supports home office through the Internet, without the domain name, the database server can be deployed in an enterprise network, very safe. Server control file rlogin.svr, as if to allow access from the Internet, please copy the files from the control of Internet access rlogin.svr dll directory to superiors. Allowing users to simultaneously edit access in rlogin.svr inside. One by writing to allow access to the user name and account number in the following format:. Eid = your_company (fill in the company logo) user = username password user = guest.guest user = control file bbbbb.ccccc# client access to rlogin.cli, format as follows:# If you need to access the Internet, please copy the rlogin.cli dll directory to oclient execution directory, while the administrator for mid, user and pwd. mid = xxxx (fill in the remote service code oserver) eid = your_company (fill in the company logo) user = aaaa (fill in the user name) pwd = bbbb (fill in the password)
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Size: 7590912 |
Author: 汤 |
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Description: 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
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Size: 79872 |
Author: gongwenwen |
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Description: 支持向量机是建立在统计学习理论基础上的通用学习方法,它可较好地解决以往
很多学习方法的小样本、非线性、过学习、高维数、局部极小点等实际问题。笔者利用支持向量回归理论
和方法,建立支持向量机的预测模型,并利用winSVM 和MATLAB 软件进行了实例预测,与二次回归
预测值相比较,支持向量机预测模型具有更好的预测精度,且有很强的推广能力。-Support vector regression data
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Size: 232448 |
Author: wang |
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Description: 一种多输入多输出支持向量回归机源代码，克服了传统支持向量机单输出的缺点-A multi-input multi-output support vector regression machine source code, to overcome the traditional single-output SVM shortcomings
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Size: 5120 |
Author: 王九龙 |
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