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Quantitative-trading10
量化投资——以Matlab为工具第十章：高级篇-基于MATLAB的支持向量机（SVM）在量化投资中的应用(Quantitative trading)
- 2015-04-26 02:17:48下载
- 积分：1
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Cholesky
半正定矩阵cholesky方法将其分解为两个上下三角矩阵相乘的形式。matlab自带的函数只能分解正定矩阵。并且给出例子。(Semi-definite matrix cholesky method be decomposed into two upper and lower triangular matrices form. matlab built-in function can only be positive definite matrix decomposition.)
- 2020-08-10 14:48:32下载
- 积分：1
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my_mle
极大似然估计的matlab算法，从其他网站得来的，希望对大家有用(Maximum likelihood estimation matlab algorithms come from other sites, we hope to be useful)
- 2013-05-24 09:23:33下载
- 积分：1
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rev .9
说明： image processing matlab
- 2019-03-01 16:16:06下载
- 积分：1
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TSP
说明： tsp的算法讲解和实现，适合学生应用，也适合需要者参考(tsp explanation and implementation algorithms, suitable for students to use, but also for those who need information)
- 2010-05-01 01:46:15下载
- 积分：1
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Matlab-PSO-is-applied-to-neuralnet
粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可(Particle Swarm Optimization (PSO) used neural network optimization program. Divided into no hidden layer, a hidden layer, two hidden layers. You can run DemoTrainPSO.m)
- 2013-07-17 19:30:26下载
- 积分：1
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psolssvm
matlab粒子分析算法工具箱，这是最新的希望对有需要的人有用，这个是源代码(matlab particle analysis algorithm toolbox, which is the latest hope useful for people in need, this is the source code)
- 2013-05-20 19:02:20下载
- 积分：1
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bp
说明： 基于MATLAB完成的神经网络源程序,可以利用该程序完成有关神经网络的应用。(MATLAB based on the completion of the neural network source code, you can use the program to complete the neural network applications.)
- 2009-02-12 13:54:26下载
- 积分：1
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scm-05-07-2006_program
生成3GPP SCM信道，内含pdf文档包含对程序的详细说明。(3GPP SCM channel generation, including pdf document contains a detailed description of the program.)
- 2007-10-25 13:20:09下载
- 积分：1
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svm
SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)
- 2010-07-31 10:21:45下载
- 积分：1
