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Description: Hidden Markov Toolkit (HTK) 3.2.1
HTK is a toolkit for use in research into automatic speech recognition and has been developed by the Speech Vision Robotics Group at the Cambridge University Engineering Department (http://svr-www.eng.cam.ac.uk) and Entropic Ltd (http://www.entropic.com).-Hidden Markov Toolkit (HTK) 3.2.1 HTK is a t OOLKIT for use in research into automatic speec h recognition and has been developed by the Spee ch Vision Robotics Group at the Cambridge Korea adequate Engineering Department (http :// SVR- www.eng.cam.ac.uk) and Entropic Ltd. (h Miller :// www.entropic.com).
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Size: 2229248 |
Author: mesu |
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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: libsvm的参数寻优程序。针对SVR提供full gridsearch方式的参数寻优，主要用于SVM回归预测-libsvm optimization process parameters. Provide full gridsearch for SVR parameter optimization approach, mainly used for SVM regression prediction
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Size: 2048 |
Author: 张瑞 |
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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: 9216 |
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: 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: Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for the k-fold cross-validation of SVR. All the programs are flexible and could be implemented by the users themselves.-Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for the k-fold cross-validation of SVR. All the programs are flexible and could be implemented by the users themselves.
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Size: 6144 |
Author: Gang Fu |
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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: 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: MATLAB支持向量机代码，用于预测优化等等(MATLAB support vector machine code, for prediction optimization, etc.)
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Size: 309248 |
Author: 小飞猪猪 |
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Description: 基于粒子群优化的向量回归预测分析
matlab代码(Support vector regression code with pso)
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Size: 1024 |
Author: 1adams |
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Description: 交叉验证及带例子的支持向量机回归代码，修改可用。(Cross validation and support vector machine regression code with examples can be modified.)
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Size: 20480 |
Author: vein |
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