MMM

Autocorrelation Function - Matlab - Useful Econometrics Tool

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.)

关于水轮机主轴系统振动的有限元计算程序，用matlab编写(Finite element program)

for LZW compression, it used the encode function and decode function. there s gui include in this file

Matlab code for 4-connectivity and 8-connectivity neighbours

可行点标记求最佳匹配算法的MATLAB 程序代码 求最小费用最大流算法的MATLAB 程序代码 匈牙利算法的MATLAB 程序代码 遗传算法解决TSP问题的Matlab程序 遗传算法解决非线性规划问题的Matlab程序 (Feasible point marking the best matching algorithm for the MATLAB code for the minimum cost maximum flow algorithm of the MATLAB program code Hungarian algorithm MATLAB code genetic algorithm to solve TSP problems Matlab procedures for genetic algorithm to solve nonlinear programming problems Matlab procedures)

史密斯原图和rcs计算的编码程序，基础程序可以好好学习下，希望有帮助！(Smith original coding procedures, basic programs can learn under, want to help!)

Annau University network lab programs

用于仿真雷达基础函数-线性调频函数和实验结果分析(simulate LFM for radar, results are also include.)

说明：  低秩表示法对子空间结构的鲁棒恢复。图像复原低秩表示算法。(Robust Recovery of Subspace Structures by Low-Rank Representation)