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MATLABC
说明： MATLAB的C++数学使用手册（详尽）(MATLAB to C++ Math User' s Manual (detailed))
- 2010-03-24 10:35:25下载
- 积分：1
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Newmark_Matlab
Newmark 算法案例，可以对初学者起到帮助，适用于结构力学(Newmark algorithm cases, can help beginners play for structural mechanics)
- 2014-11-29 19:24:43下载
- 积分：1
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SCDL_supple
Semi-Coupled Dictionary Learning with Applications to Image Super-Resolution and Photo-Sketch Synthesis 文章算法实现(Semi-Coupled Dictionary Learning with Applications to Image Super-Resolution and Photo-Sketch Synthesis Algorithm article)
- 2013-12-19 10:52:33下载
- 积分：1
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MATLAB_Simulink
基于MATLAB_Simulink的系统仿真技术与应用大家可以学习下，很好的东西啊(MATLAB_Simulink system based on the simulation technology and application we can learn, the good thing ah)
- 2009-04-28 16:33:17下载
- 积分：1
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DBSCAN2
DBSCAN是一个基于密度的聚类算法。改算法将具有足够高度的区域划分为簇，并可以在带有“噪声”的空间数据库中发现任意形状的聚类。(DBSCAN is a density-based clustering algorithm. Algorithm change will have enough height to the regional cluster. and to be with the "noise" of the spatial database found clusters of arbitrary shape.)
- 2007-01-22 17:04:20下载
- 积分：1
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Digital-Filter-Design
(1)设计低通、带通、高通数字滤波器；
(2)可以对合成信号(含低频、中频、高频分量)、语音信号进行滤波；
(3)通过GUI界面进行控制。((1) design low pass, band pass, high pass digital filter
(2) can be synthesized signal (including the low frequency, medium frequency, high frequency components), filtered speech signal
(3) is controlled through the GUI.)
- 2020-10-28 10:49:59下载
- 积分：1
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PF_codes
说明： 本程序实现了粒子滤波基本算法。matlab代码。(failed to translate)
- 2011-03-25 20:35:38下载
- 积分：1
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sin
sin 函数功能，用matlab，比较常用，大家可以做个参考(function of sin by matlab)
- 2012-05-14 17:25:51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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Aitken
非线性方程组的求解方法：使用matlab编写，运用了aitken加速方法(Non-linear equations method: the use of matlab prepared to accelerate the use of Aitken Ways)
- 2009-02-12 16:45:42下载
- 积分：1
