搜索资源列表
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基于支持向量机的时间序列工具箱，用svm作时间序列预测,Based on support vector machines time series toolbox for time series prediction using svm
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SVM的VC程序，有matlab接口，便于调用，还有例子，用于模式识别，分类，预测。-SVM, VC procedures, matlab interface, easy call, as well as an example, for pattern recognition, classification and prediction
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做时间序列预测的svm程序,matlab编的-svm program for time series prediction
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详细介绍了LIBSVM（由台湾大学教授编写SVM程序）使用方法，包括前期数据处理，数据导入，训练以及预测-Described in detail LIBSVM (prepared by the National Taiwan University professor of SVM program) using the methods, including pre-data processing, data import, training and prediction
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基于GPU计算的SVM，VC++源码，包括详细文档说明文件。借用了GPU编程的优势，该代码据作者说比常规的libsvm等算法包的训练速度快13-73倍，预测速度快22-172倍。希望对大家有用-cuSVM is a software package for high-speed (Gaussian-kernelized) Support Vector Machine training and prediction that exploits the massively parallel proc
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基于SVM和混沌理论的关于水质预测的matlab仿真的程序，程序里面有详细的说明。是我的毕业设计，希望大家有用。-Based on SVM and Chaos Theory on the water quality prediction matlab simulation program, the program which are described in detail. Is my graduation project I hope you useful.
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MATLAB cross-validation tool for classification and regression v0.1
FEATURES:
+ K-fold cross validation.
+ Arbitrary train and prediction functions with parameters can be used.
+ Arbitrary loss function can be used.
+ Wrappers for
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对数据进行SVM处理，最后以进行定量及分类处理，对得到的预测和训练的数值进行RME等的计算-The data processing, and end with SVM quantitative and classification to get treatment, the numerical prediction and training for calculation of RME etc.
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基于LS-SVM的一个预测代码。对实际数值进行预测得到图像-LS-SVM based on a prediction code. Predicted value for the actual image
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实现时间序列预测，相空间重构的方法可以对时间序列做一一对应的映射，效果非常的好-Realize the time series prediction, phase space reconstruction method can do for time series one-to-one mapping,, the effect is very good
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最小二乘支持向量机的功能源代码，有助于对软测量的预测和建模进行研究-The least square support vector machine function the source code, and the help of the soft measurement of the prediction and modeling for research
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本文主要研究 LS-SVM 算法的基本原理及基于其实现时间序列预测
的方法。针对超参数选择困难的问题，采用多级网格搜索和遗传算法的方法对
超参数的取值进行优化-This paper studies the basic principles of the LS-SVM algorithm and time series prediction based on its implementation. Difficult to select for hyper parameter, multi
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使用支持向量机模型(svm)对时间序列进行预测-Using support vector machine model (svm) for time series prediction
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支持向量机除了可以进行分类预测还可以进行回归预测，源代码为使用支持向量进行回归预测。-In addition to SVM classification can also be predicted regression prediction, the source code for the use of support vector regression to predict.
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支持向量机除了可以进行分类预测还可以进行回归预测，源代码为使用支持向量进行回归预测。-In addition to SVM classification can also be predicted regression prediction, the source code for the use of support vector regression to predict.
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SVM通用工具包，用于分类预测。附使用说明和一个测试例子。-SVM common toolkit for classification and prediction. Attached instructions and a test case.
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SVM输出预测结果源代码，用matlab语言编写的，适用于分类及相关问题的分析-SVM output prediction results source code, written with matlab language, suitable for classification and analysis of the related problem
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lssvm用于状态分类和预测，主要应用于信号处理以及智能算法等领域(LSSVM is used for state classification and prediction)
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1.采用遗传算法对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征进行特征选择，并基于所得到的最佳特征采用SVM设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。要求自行编写代码实现遗传算法。(1. using genetic algorithm based on the sample data of male and female students in height, weight, love mathematics, love li
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基于GA优化的SVM算法，它可以被用于预测分类(SVM algorithm based on GA optimization for prediction classification)
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