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基于Hopfield的神经网络算法的MATLAB编程求解旅行商问题，程序复杂，但是求解效果很好(Hopfield of neural network algorithm based on the MATLAB program for solving the traveling salesman problem, complicated, but works well for solving)

谐波分析简要过程 主要对常见的谐波定义，分析过程，处理的手段，仿真结果等作一个简要的概述(harmonic analysis process a simle but important applied in every engineeering aera especially in electical engeneering department if it has some error in the document please excuse cause of time and limited brain)

matlab编程实现通过NRW算法将S参数提取人工电磁材料的结构参数--等效介电常数和等效磁导率(Matlab programming is used to extract the structural parameters of the artificial electromagnetic materials through the NRW algorithm - the equivalent permittivity and the equivalent permeability of the artificial electromagnetic materials.)

在matlab中，Soble算子检测边缘，并保存原图中每个像素相对应的梯度模长和方位角，然后进行边缘连接(In matlab, Soble edge detection operator, and save the original image corresponding to each pixel in length and azimuth gradient mode, then the edge connector)

说明：  可以利用元胞自动机模拟疫情发展情况，并且有详细的论文说明，语义解释(Cellular automata can be used to simulate the development of epidemic situation)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

基于语音的基本特征的音色，音高，音调的书语音采集和识别的基本理论pdf和matlab源码(the recognition of audio based the charastics )

仿真了转台目标，并进行了R-D算法仿真。 (Simulation of the turntable-goal and the RD algorithm simulation.)

Matlab script for digitizing a published graph

讲解了一些最常用的例子并加以说明，从而更深入的了解(Explain some of the most common example is to illustrate to a better understanding of)