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SystemAllowGeolocationOrigins
Manages the interaction between the secure system setting for default geolocation.
- 2014-01-17 11:25:32下载
- 积分：1
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Commonlyusedmathematicalmodelingalgorithmtoolbox
数学建模常用算法工具箱.......内附
详细说明(Commonly used mathematical modeling algorithm toolbox. Zip)
- 2010-09-20 14:49:56下载
- 积分：1
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som_network
基于SOM神经网络的基金业绩分类评价，内含PPT(SOM neural network based classification of fund performance evaluation, containing PPT)
- 2010-12-29 13:07:57下载
- 积分：1
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1
说明： DTMF frequency decode and encode, it contains everything and wave file
- 2013-03-05 10:05:24下载
- 积分：1
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point
matlab离散点转化为平滑曲线的基本方法，适合新手使用(matlab discrete points into a smooth curve)
- 2014-01-11 20:47:22下载
- 积分：1
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GUITechnicalAnalysisTool
A GUI financial technical analysis toolbox. (A GUI financial technical analysis toolbox.)
- 2008-01-15 06:25:38下载
- 积分：1
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Optimal
说明： 几个凸优化函数，用于解决非约束和带约束条件的凸优化问题(Several convex optimization function, for solving non-binding and the constrained convex optimization problem)
- 2010-04-29 21:09:47下载
- 积分：1
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kongming
神经网络训练根据Kolmogorov定理，输入层有14个节点，所以中间层有29个节点
％中间层神经元的传递函数为 tansig
％输出层有8个节点，其神经元传递函数为logsig
％训练函数采用traingdx(neural network training under the Kolmogorov theorem, input layer has 14 nodes, Therefore, the intermediate layer has 29% of nodes middle layer neurons in the transfer function for the output layer tansig% have eight nodes, its neuron transfer function for the training function logsig% used traingdx)
- 2006-05-29 13:22:55下载
- 积分：1
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LINGO-01
数学建模LINGO软件学习教程1，对数据优化极大值求解有独特算法(Software learning tutorial
)
- 2014-09-13 10:46:37下载
- 积分：1
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ols
正交最小二乘辨识算法
该算法除了实现最小二乘辨识功能之外而且能按照各项重要性将其逐一选出并且估计相应系数(OLS Orthogonal Least Quares.
[x, ind] = OLS(A,b,r) gives the solution to the least squares problem
using only the best r regressors chosen from the ones present in matrix A.
This function also returns in the vector ind the indexes of the
best r regressors (i.e., the best columns of A to use).
If r is equal to n, the solution x given by OLS is the same as the solution
given by A, but in ind we still have the regressors sorted by their
importance. This means that one can perform a feature selection by taking
the first k entries in ind (k<r).)
- 2010-01-06 20:18:56下载
- 积分：1
