8898794

基于Matlab的类photoshop的程序代码，可以直接对图像进行编辑。(Photoshop classes Matlab-based code, you can directly edit the image.)

kundur 单机无穷大 小信号分析 m文件(kundur-machine infinite-size signal analysis m file)

COUR LANGUE ET COMMUNICATION

boost升压电路 matlab 调试成功 输出曲线很不错(boost matlab prefect)

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.)

基于meanshift块跟踪，2010B运行，指定块的位置，进行块跟踪，希望对学者有帮助(Meanshift block tracking, based on the 2010B operation, the specified the position of the block, block track, and I hope to help scholars)

学习abaqus子程序umat的绝好例子，权威专家编写(Learning excellent examples of abaqus umat subroutine, leading experts to write)

simulation of optimal control

说明：  This function file calculates the outlier by different methods including MAD, Sliding window MAD, IQR, etc.

利用MATLAB实现二维图像傅立叶变换算法(Realize two-dimensional image using MATLAB Fourier transform algorithm)