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cljsp
用于电力系统潮流计算的一个例子，用matlab实现其牛顿-拉普讯算法计算的程序代码(Power Flow Calculation for an example, using matlab to achieve its Newton- La hearing the code algorithm)
- 2010-11-05 09:31:51下载
- 积分：1
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NBA
按照每年的NBA官方要求，可以自动生成30支NBA球队的赛程。(In accordance with the annual NBA official requirements, you can automatically generate 30 NBA teams schedule.)
- 2010-05-08 08:56:56下载
- 积分：1
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Chebpack
Chebpack by Damian Trif
- 2014-02-07 03:06:24下载
- 积分：1
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因子分析
说明： 调用factoran函数根据相关系数矩阵作因子分析(Factor analysis based on correlation coefficient matrix by calling factoran function)
- 2021-03-18 20:29:20下载
- 积分：1
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optium_estimate
阵列处理课程作业，最优权波束形成，理论值、和不同快拍的对比。(Array processing course work, the optimal weight beamforming, the theoretical value, and snapshot comparison.)
- 2012-06-05 16:50:18下载
- 积分：1
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IterativeSOCP
simulation on the iterative method on MIMO ssyetem
- 2014-09-09 23:36:31下载
- 积分：1
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matlab-PR
文件包含了一个关于matlab人脸识别的案例分析，有助于很好的学习模式识别。(File contains a case analysis about matlab face recognition, helps to great learning pattern recognition.)
- 2014-11-02 13:11:33下载
- 积分：1
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Combox
下拉框Combox例子的实现，里面包含insertItem和信号槽(The implementation of the Combox example，including insertItem and signal channal)
- 2014-11-20 17:06:17下载
- 积分：1
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1807.01622
说明： 深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)
- 2020-06-23 22:20:02下载
- 积分：1
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CMathArray
在vc6.0z中开发的数学矩阵类，用来操控矩阵相关编程，功能还待完善，但一定程度上，是我们不用再去搞C++与matlab的混编(to control simple calculation works in mathmetical array works with compile language just based c++ in the vc6.0 enviroment.)
- 2010-07-22 19:10:42下载
- 积分：1
