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Description: svr(support vector regression),即支持向量回归，是人工神经网络的一种学习算法。可用于数据预测等。
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Size: 1024 |
Author: 王珏 |
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Description: 一维支持向量机回归以及二维支持向量机回归-One-dimensional support vector machine regression, as well as two-dimensional support vector machine regression
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Size: 235520 |
Author: 赵星 |
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Description: 支持向量机方面的，是Steve R Runn的svm工具箱的说明文件，-Aspects of support vector machine is the Steve R Runn documentation svm toolbox, huh, huh
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Size: 124928 |
Author: liuzhonghua |
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Description: SVR程序,直接用就可以了,没有错误,其中还有一些变量需再编程序算,如:MSE-SVR procedure can be used directly and there is no mistake, there are some variables which should be subject to the procedures for counting, such as: MSE
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Size: 10240 |
Author: shihuizhuo |
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Description: SVR的一些例子,对初学者来说,非常有用,可以照着例子学,这样上手比较快-Some examples of SVR for beginners, very useful, you can follow example of science, this relatively fast start
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Size: 3072 |
Author: shihuizhuo |
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Description: SVR的一些例子,对初学者来说,非常有用,可以照着例子学,这样上手比较快-Some examples of SVR for beginners, very useful, you can follow example of science, this relatively fast start
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Size: 2048 |
Author: shihuizhuo |
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Description: 在线向量回归分析，有包涵一个例子和内定函数等-On-line vector regression analysis, there is an example of indulgence and unofficially functions, etc.
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Size: 31744 |
Author: 李強 |
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Description: ：针对发酵过程中生物参数难以实时在线测量的问题，建立了用于生物参数状态预估的
支持向量机软测量模型。考虑到该支持向量回归(SVR)模型的复杂性和冷化特征取决于其三
个参数 ，c， 能否取到最优值，采用粒子群优化(PSO)算法实现对参数 ，c， 的同时寻优。在
此基础上，以饲料用 ．甘露聚糖酶为对象，建立了基于PSO—SVR的发酵过程产物浓度状态预估
模型。发酵罐控制结果表明：该模型具有很好的学习精度和泛化能力，可实现对 ．甘露聚糖酶
产物浓度的实时在线预估。-In view of the hardship to get real—time and on—line biological parameters in fermentation
process，a soft sensor model based on support vector machines is established for estimating the bio—
logical parameters．The complexity and generalization performance of the support vector regression
(SVR)model depend on a good setting of the three parameters ，c， ．An algorithm called parti—
cle swarm optimization(PSO)is applied to optimize the three parameters synchronously．Based on
the proposed method，a PSO—SVR model is developed to estimate the products concentration of beta—
mannanase for feedstuf．The control results of fermenter show that the state estimation model based
on PSO·-SVR has good learn ing accuracy and generalization perform ance SO as to obtain the real·-time
and on—line estimation for products concentration of beta—mannanase．
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Size: 231424 |
Author: 11 |
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Description: 要建立一个有效的支持向量回归(SVR)模型，支持向量回归的3个参数c，y，占丛须预先设定。提出一种新型的遗传算
法一智能遗传算法(IGA)对支持向量回归进行参数调节，以达到寻找最优参数的目的，然后和支持向量回归结合得到一种新的
IGASVR模型，并应用于城市人口预测。最后，将提出的方法与标准SVR模型和BP神经网络模型进行比较，所得结果表明，该模
型训练速度快，并且有较高预测精度，是一种有效的人口预测方法。-To build an effective SVR model，SVR’8 parameters must be set carefully．This study proposes a novel approach，
known ag IGASVR。which searches for SVR’s optimal parameters using intelligent genetic algorithms，and then adopts the optimal
parameters to construct the SVR models．Finally we apply IGASVR tO forecast population．The experimental results demonstrates
that IGASVR are better than standard SVR and BP neural-network．IGASVR model is an effective approach which has faster
speed of training and higher precision．
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Size: 372736 |
Author: 11 |
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Description: 统计学习理论中提出的支撑向量机回归(SVR)遵循了结构风险最小化原则,从而避免了一味追求经验风险最小化带来的弊端-Statistical learning theory proposed by the support vector machine regression (SVR) to follow the structural risk minimization principle, thus avoiding the blind pursuit of Empirical Risk Minimization the evils of
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Size: 3072 |
Author: han fei |
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Description: 支持向量机回归在股市预测中的应用,有论文和大量仿真曲线说明-the application of SVR in the Stock prediction
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Size: 322560 |
Author: 曹志民 |
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Description: 79419096svr一维支持向量机回归以及二维支持向量机回归-79419096svr one-dimensional support vector regression and two-dimensional support vector regression
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Size: 235520 |
Author: myzone |
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Description: svm 的matlab程序,是最基本的svm形式-the sourse of svm,it is the basic styple
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Size: 2048 |
Author: 赵爽 |
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Description: 一位意大利博士编写的关于online SVR的工具箱，对我启发很大。附加了Powell法优化工具-a matlab toolbox about online SVR and Powell
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Size: 33792 |
Author: yan |
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Description: A matlab implementation on SVR
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Size: 808960 |
Author: an132_76 |
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Description: 本算法利用matlab及libsvm软件包中提供的函数实现了SVR回归模型的仿真测试，并应用于混凝土抗压强度预测中。-The algorithm uses the libsvm matlab and functions provided in the package to achieve a SVR regression model simulation testing, and applied to predict the compressive strength of concrete.
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Size: 5120 |
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Description: 基于果蝇的算法优化支持向量回归的matlab程序，包括txt版本和matlab中m文件(Matlab algorithm based on fruit fly algorithm optimized support vector regression, including the txt version and Matlab m file)
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Size: 2048 |
Author: 丁丁宝贝f
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Description: SVR工具箱，可以用来参数预测，还可以应用于优化设计中(SVR toolbox, used for the prediction and optization)
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Size: 337920 |
Author: great_mk
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Description: 基于支持向量机SVM原理，引入惩罚系数，在libsvm3.14安装包基础上实现了支持向量回归matlab编程(Based on the SVM principle of support vector machine, the penalty coefficient is introduced, and support vector regression matlab programming is implemented on the basis of libsvm3.14 installation package)
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Size: 33792 |
Author: 大雨神
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Description: 在线的SVR实现，Matlab版本实现。(Online SVR, matlab version.)
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Size: 61440 |
Author: brbaaa |
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