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mpc_predmat
mfile for Matlab Code 12.2 Calculates the GPC law
- 2014-02-21 15:23:03下载
- 积分：1
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Simulink
这是一本学习matlab simulink方面实例的书，通过不断地练习例子，可以很快的进入入门阶段。(this is a book of matlab simulink,we can study well matlab simulink through the book.)
- 2011-05-05 08:18:54下载
- 积分：1
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MQAM-modulation-and-demodulation
MQAM信号的调制与解调，包括调制与解调的全程序，星座图的回复与比较！很有帮助(QAM modulation and demodulation ,including constellation)
- 2011-09-24 09:04:42下载
- 积分：1
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CashCode.Net.Source
CashCode protocol Visual Studio
- 2014-10-28 07:34:14下载
- 积分：1
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57912
particle filter in video analysis
- 2015-03-07 01:52:15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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Florida-Matlab-3th-editon
matlab初学经典教程，非常适用于初学者(University of Florida,Matlab 3th editon)
- 2012-03-28 10:06:23下载
- 积分：1
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matlab2
This function performs one-dimensional (Cartesian) finite-difference time-domain simulations. It assumes the spatial grid extends from k = 1 to k = Nz and that the simulation runs for nSteps time steps.(1D-FDTD-program(matlab) This function performs one-dimensional (Cartesian) finite-difference time-domain simulations. It assumes the spatial grid extends from k = 1 to k = Nz and that the simulation runs for nSteps time steps.)
- 2010-01-18 10:46:35下载
- 积分：1
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FSADA
旋转Y切-弹性压电薄膜，谐振器的特性计算及分析，用MATLAB编程计算。(Rotated Y-cut- elastic piezoelectric thin film resonator characteristic calculation and analysis, calculated using MATLAB programming.)
- 2013-12-02 09:53:27下载
- 积分：1
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transfer
说明： 各种数码之间的相互转换，比如2进制转10进制(Base Conversion Algorithm)
- 2010-03-19 10:55:40下载
- 积分：1
