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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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基于支持向量机的分类方法,主要用于模式识别。-Based on support vector machine classification methods, mainly used for pattern recognition.
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对学习最小二乘法的初学者有很大的帮助的一篇文章最小二乘支持向量机算法及应用研究-Least square method of learning is very useful to beginners in an article- least squares support vector machine algorithm and applied research
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一个适合进行在线支持向量机回归辨识的Matlab源程序。-Matlab programs for on-line regression identification using Support Vector Machine
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自编支持向量机程序,求解速度较快,用户可自己设置径向基函数。-Self-support vector machine procedures, faster to solve, the user can set up their own radial basis function.
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用matlab实现支持向量机的程序,欢迎大家提出宝贵意见-Realize with matlab support vector machine procedures, welcome to everyone for their valuable views
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基于支持向量机算法的分类程序,matlab实现。-Based on support vector machine algorithm for classification procedures, matlab realize.
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支持向量积很好的学习材料,对初学者有很大的帮助-Support Vector Machine
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支持向量机在模式识别和分类中应用广泛,
小波方法的多尺度特性也众所周知。
本文将小波和支持向量机相互结合实现特征提取。-Support vector machine in pattern recognition and classification of the application of a wide range of multi-scale wavelet method is also well-known characteristics. In this paper, wavel
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Java语言实现的支持向量机的源码。对研究人工智能的朋友有用。-Java language support vector machine source.
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神经网络支撑向量机中的asvm的MATLAB源代码程序下载-Neural network support vector machine asvm of the MATLAB source code download
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用MATLAB来实现支持向量机SVM和核函数的程序集-Support Vector Machine SVM and nuclear assembly MATLAB function. Rar
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支持向量机作为统计学习理论的实现方法,能很好地解决非线性和高维数问题,克服了神经网络方法收敛慢、解不稳定、推广性差的缺点,近年来得到了广泛地研究,在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。-Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension pro
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核函数是利用支持向量机解决不可分问题时引入的一种非线性变换的手段。基本思想是通过非线性变换,使样本变换之后的特征空间中变得线性可分。然后利用线性可分时构造最优超平面的方法,在特征空间中实现最优超平面的求解。-Kernel function is the use of support vector machine to resolve the issue can not be separated from the introduction of a nonlinear transform mean
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支持向量机模式分类程序,可对两类模式进行分类识别-Support vector machine pattern classification procedures, two types of models can be classified to identify
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一种基于matlab的支持向量机小例子,用于预测,LS-A matlab-based support vector machine small example for the prediction, LS
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一些辨识方法的综述文献,包括神经网络,模糊和支持向量机,对于需要进行辨识研究的同学有帮助-Some identification method for the synthesis of literature, including neural networks, fuzzy and Support Vector Machine, for the need for identification of studies have classmates assist
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基于支持向量聚类的多聚焦图像融合算法.
从无监督机器学习角度提出了一种基于SVC(support vector clustering)的图像融合规则,解决了基于
SVM(support vector machine)的融合规则在处理多聚焦图像融合问题时所引起的区域混叠与非平滑过渡问题,进一步提高了融合图像的质量.-Based on support vector clustering algorithm for multi-focus image fusion. Never oversig
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一种支持向量机的矿井提升机故障诊断方法,方便写提升机故障诊断的-A support vector machine of Mine Hoist Fault Diagnosis Method for Writing Hoist Fault Diagnosis
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支持向量机分类程序,Matlab6.5环境下运行.可以给大家一些帮助。-Support Vector Machine classification procedures, Matlab6.5 environment. Can give you some help.
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