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gaussmix
混合高斯模型
对于给定的数据，可以自动选择最佳聚类数目和聚类中心，并根据判决规则进行收敛，运算很快，非常方便(Mixed-Gaussian model for a given data, can automatically select the best cluster number and cluster centers, and in accordance with decision rules convergence, compute very fast, very convenient)
- 2008-06-06 11:20:29下载
- 积分：1
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多元统计分析—基于R-数据data
说明： 多元统计分析—基于R- 数据data，讲解多元统计在R中如何实现，对于多元统计软件入门，是很实用的课程(Multivariate Statistical Analysis Based on R language .about data)
- 2019-03-20 12:31:31下载
- 积分：1
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ScienceDirect_files_04Dec2020_09-38-45.837
说明： 求解齿轮的热弹流润滑问题，本程序中说明了每个子程序的用途，而且带注释。(To solve the thermal elastohydrodynamic lubrication problem of gears, the purpose of each subroutine is explained in this program, and there are comments.)
- 2020-12-07 22:20:02下载
- 积分：1
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GaussFitting
高斯拟合程序，采用高斯函数拟合数据，获得拟合高斯函数的平均值和方差。(Gaussian fitting procedure, using Gaussian function fitting the data, fitting Gaussian function to obtain the mean and variance.)
- 2011-10-17 19:44:18下载
- 积分：1
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TSWLS-NLOS
室内无线定位技术，基于两次最小二乘法的matlab仿真程序(Indoor wireless positioning technology, based on the two least-squares method matlab simulation program)
- 2013-10-27 01:06:31下载
- 积分：1
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df
说明： 经过个人修改的matlab科学计算程序，供初学者使用(MATLAB scientific computing and visualization simulation literature amended program can achieve numerical conversion between)
- 2012-08-06 19:12:57下载
- 积分：1
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OpenSees1.0
经典的可编程添加模块的面向对象的有限元程序代码(C++ code for OOFEM based on multi-systems)
- 2018-05-02 19:45:18下载
- 积分：1
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MillerRabin()
素性检测的miller-rabin算法。。。。。(Primality testing)
- 2011-11-23 16:56:41下载
- 积分：1
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Tensorflow
Python Tensorflow机器学习实战中文版(Python Tensorflow introduction to practical coding)
- 2017-12-07 16:48:39下载
- 积分：1
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ZCXLJ
支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。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(Support vector machines and BP neural network can be used for non-linear regression fit, but they is not the same principle, support vector machine based on structural risk minimization theory, generally considered its generalization ability than the neural network of strong . Inherent defect- a large number of simulation confirmed that generalization ability of support vector machine is stronger than the BP network, but also to avoid neural network training results unstable. The source code can be used for linear regression, nonlinear regression, nonlinear function fitting a variety of applications, data modeling, forecasting, classification)
- 2020-09-18 19:27:53下载
- 积分：1
