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QuasiZ1
Zyuan光伏逆变仿真全套仿真例程，本文的主要目的就是通过z源升压之后通过mppt算法算出占空比控制控制逆变器实现光伏并网，(Zyuan photovoltaic inverter simulation full simulation routines, the main purpose of this paper is through the z source after booster by MPPT algorithm to calculate duty ratio control control realization of photovoltaic (pv) grid inverter,)
- 2014-08-21 14:19:54下载
- 积分：1
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fushangST1
基于负熵最大的ICA 算法在matlab运行的代码(Based on negative entropy maximum ICA algorithm in matlab code that runs)
- 2013-11-21 15:28:17下载
- 积分：1
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shengbomoni
交错网格时间二阶空间十二阶声波方程数值模拟，加PML吸收边界，倾斜地层(Staggered grid space second-order time 12 order acoustic equation numerical simulation of the PML absorbing boundary, tilted strata)
- 2015-01-03 11:03:15下载
- 积分：1
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Fractal
分形维数应用与MATLAB实现——借助分形维数理论，对二维图像和语音信号进行分析计算，让读者真正掌握分析盒维数的计算。(Fractal dimension and MATLAB realization——With the fractal dimension theory, the two-dimensional image and speech signal analysis and calculation, so that the reader grasp the real calculation cartridge dimensions.)
- 2016-05-16 15:32:33下载
- 积分：1
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classic_example_of_the_edge_algorithm_matlab
matlab经典实例边缘算法设计classic example of the edge algorithm matlab(matlab classic example of the edge algorithm design classic example of the edge algorithm matlab)
- 2010-08-02 09:38:38下载
- 积分：1
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shuzixinghaochuli
说明： MATLAB课件 给那些电子信息工程的学生看看 很好的软件
(MATLAB Electronic and Information Engineering courseware to students who look very good software)
- 2010-04-29 20:29:50下载
- 积分：1
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FEM-using-Matlab---Programmes
matlab 建立有限元模型源程序,有限元分析必备程序(FEM using matlab)
- 2013-07-11 15:44:59下载
- 积分：1
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differential-equation-modeling
This example is based on the integration of interactive simulation environment simulink to do, mainly based on simulink modeling equations, gives the spring mass damper system. We hope to learn about simulink help.
- 2014-11-07 21:55:29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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11
说明： BP网络的算法及在MATLAB上的程序仿真(BP network algorithm and a program on MATLAB simulation)
- 2009-10-11 11:09:42下载
- 积分：1
