搜索资源列表
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6下载:
一类支持向量机,用于分类和预测,里面代码使用matlab编程,One-Class Support Vector Machine for classification and prediction, which code to use matlab programming
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最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测-Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction
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神经网络支持向量机程序,用于模式识别,股指预测
-Neural network support vector machine procedures for pattern recognition, stock prediction
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支持向量机工具箱,可进行分类,预测等,实现了四种支持向量机工具箱的分类与回归算法,有实例-Support Vector Machine Toolbox, it can conduct classification, prediction and so on, implementation of the four support vector machine toolbox classification and regression algorithm, has examples of
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支持向量机的源代码,它的用途非常的广泛,比如在预测-Support vector machine' s source code, its use is very widespread, such as prediction, etc.
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支持向量机非线性回归通用MATLAB源码本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合-Universal non-linear regression support vector machine MATLAB source code of this source can be used for linear regression, nonlinear regression, nonlinear function approximation, data m
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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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用于核函数的选择,也是基于最小二乘支持向量机预测问题的好帮手,希望能够搬到大家。-For the selection of kernel function, is also based on support vector machine prediction is a good helper, hoping to move to you.
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神经网络支持向量机程序,用于模式识别,预测-Neural network support vector machine program for pattern recognition, prediction
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嵌入维数自适应最小二乘支持向量机
状态时间序列预测方法
Condition Time Series Prediction Using Least Squares Support Vector Machine
with Adaptive Embedding Dimension
针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应
最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
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深度优先搜索的支持向量机参数优化算法
Study on Parameters Optimization of Support
Vector Machines Based on DFS
:研究支持向量机参数优化问题,由于算法要求准确选择 SVM 参数,支持向量机在处理大样本数据集时和最优模型参
数确定时,消耗的时间长、占有内存大,易获得局部最优解的难题。为了解决支持向量机存在的不足,采用深度优先搜索算
法对其参数优化机机制进行改进。将向量机参数优化视成一个组合优化问题,将支持向
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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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支持向量机神经网络的回归预测分析 以上证指数预测为例-Regression analysis of support vector machine neural network prediction for example Shanghai Composite Index
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核主成分分析和支持向量机方法相结合,用于数据分类和预测。-Kernel principal component analysis and support vector machine method combined for data classification and prediction.
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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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svm(支持向量机)工具箱,用于svm预测,模式识别,故障诊断.-svm (support vector machine) toolbox for svm prediction, pattern recognition, fault diagnosis.
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基于粒子群优化的支持向量机风电功率预测,采用PSO对支持向量机算法进行优化。-Based on PSO support vector machine wind power prediction, using PSO support vector machine algorithm for optimization.
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支持向量机对于钢筋混凝土的强度的评价和预测-Support vector machine for strength reinforced concrete uation and prediction
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预报误差法参数辨识-松弛的思想,SqCjvKL参数表示出两帧图像间各个像素点的相对情况,matlab开发工具箱中的支持向量机,调试通过可以使用,wUwRDWp条件基于matlab GUI界面设计,包含收发两个客户端的链路级通信程序。- Prediction Error Method for Parameter Identification- the idea of relaxation, SqCjvKL parameter Between two images showing the rela
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针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构,得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性,对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测,对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr
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