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SparseLab200-Core
SparseLab is a Matlab software package designed to find sparse solutions to systems of linear equations, particularly underdetermined systems.
- 2007-08-23 16:58:18下载
- 积分：1
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基于MATLAB的Filter使用
说明： 基于MATLAB的Filter使用，低通、带通和高通滤波器的仿真。包括filter、ftt等函数的使用(Matlab based filter use, low-pass, band-pass and high pass filter simulation. Including the use of filter, FTT and other functions)
- 2020-03-17 17:46:02下载
- 积分：1
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tanxin
背包问题 贪心法C++实现
功能健康，绝对无毒(Greedy Knapsack Problem C++ Achieve functional health, is absolutely non-toxic)
- 2008-04-27 19:46:02下载
- 积分：1
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E_pulse
E_pulse methode target identification
- 2012-03-22 18:39:51下载
- 积分：1
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PID
迭代学习控制系统仿真及其PID参数整定-华东石油大学本科毕业论文 (Iterative Learning Control System Simulation and PID parameter tuning- East China Petroleum University undergraduate thesis)
- 2013-08-30 10:27:36下载
- 积分：1
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dco
A simple DCO- OFDM code,
- 2015-03-18 18:32:44下载
- 积分：1
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PSO
example of matlab,optimization method which is used with different model.it will be useful for whom they want to learn Matlab by themselves1
- 2009-09-18 15:19:16下载
- 积分：1
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MATLAB
说明： 高斯白噪声无线通信信道下的误码率仿真，希望对你的学习有用(Gaussian white noise of wireless communication channel under BER simulation, you would like to learn useful)
- 2008-11-19 15:49:12下载
- 积分：1
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1807.01622
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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fuzzypid
模糊控制MDL模糊MATLABfuzzypid(MDL fuzzy control fuzzy MATLAB uzzypid)
- 2008-03-04 16:50:48下载
- 积分：1
