搜索资源列表
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用于固定大小的支持向量机的用法，利于学习最小二乘支持向量机的应用-Usage for a fixed size of the support vector machine, which will help to learn the application of least squares support vector machine
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能够实现支持向量机的界面操作，支持向量机比神经网络功能强大，能够实现分类和识别-Support vector machine (SVM) to realize the interface operation, support vector machine (SVM) is a powerful than neural network, which can achieve the classification and recognition
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支持向量机的画图程序。能够很好的将识别到的不同类型分量，可视化。-Support vector machine (SVM) drawing program. Can very good will to identify the different types of component, visualization.
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支持向量机模型用于预测分析效果显著，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and
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利用最小二乘支持向量机原理，创建了LSSVM预测模型-The principle of least squares support vector machine, created LSSVM prediction model
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LIBSVM- Library for Support Vector Machine
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支持向量机回归，可用于分析大量数据的回归预测-Support vector machine regression can be used to analyze large amounts of data regression
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基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization Algorithm and Simulated Annealing least squares support vector machine parameters from selection method
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这是超球面支持向量机的程序代码，对支持向量机油兴趣的同学 可以下载来学习-This is the hypersphere support vector machine code, the support vector machine oil Interested students can download to learn
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基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization Algorithm and Simulated Annealing least squares support vector machine parameters from selection method
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libsvm,台湾著名学者研究出的改进版的支持向量机。可用于多类别图像分类。上传的是window版本。-libsvm, Taiwan s well-known scholars developed an improved version of the Support Vector Machine. Can be used for multi-class image classification. Upload a window version.
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基于小波分析、遗传算法、支持向量机对股指期货进行预测的算法。-Based on the wavelet analysis, genetic algorithms, the algorithm of support vector machine (SVM) to forecast the stock index futures.
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it gives a demo on how support vector machine works
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支持向量机SVM gridr.py 核函数自动寻优
多核并行程序
wen7 32位系统-Support Vector Machine SVM gridr.py kernel function automatically optimizing multicore parallel programming wen7 32-bit systems
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粒子群改进支持向量机粒子群改进支持向量机-Improved particle swarm particle swarm improved support vector machine SVM
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支持向量机分类函数,用于故障分类预测的正确率计算法函数-Support vector machine classification function,The correct rate of classification for fault prediction method of calculating function
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支持向量机故障诊断分类函数,多数用于故障诊断分类.-Support vector machine fault diagnosis classification function, mostly for the fault diagnosis and classification
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有关支持向量机的优化算法，可是支持向量机提高准确率及速度-About the support vector machine optimization algorithm, but support vector machine to improve the accuracy and speed
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使用基因遗传算法优化支持向量机参数，进而准确快速分类-Using genetic algorithms to optimize the parameters of support vector machine, and then quickly and accurately classified
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一种基于基因遗传算法和支持向量机的回归算法-Regression algorithm based on genetic algorithm and support vector machine
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