matlab-powersystem

电力双机系统暂态仿真程序，含派克变换和绘图子程序，可供参考。(Dual power system transient simulation program, with Parker and graphics transform subroutine is available for reference.)

this is matlab exercise solved

《MATLAB神经网络30个案例分析》中的第23个例子，案例23 小波神经网络的时间序列预测-短时交通流量预测。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 23 example, 23 cases of wavelet neural network time series forecasting- short-term traffic flow prediction. Hope to have certain help to everybody! )

relative intensity with frequency in semicounductor

SVM算法的matlab实现程序，组要包含两个程序，希望对你有帮助(SVM algorithm matlab implementation process, the group to include two programs, I hope to help you)

说明：  Matlab教学用，适合初学者，描述最基本的指令及应用(Matlab teaching for beginners, the basic description and application instructions)

采用matlab编写的灰色预测代码，有gm11，versult，以及其改进形式(By using the grey prediction code, matlab prepared with gm11, versult, and its improved form)

transmission reception optical fiber

用logistics法拟合数据，并达到预测的作用，数据文件未上传(Fitting with logistics data and forecasts to achieve the role of the data file did not upload)

1.附件结构: gatbx.rar: (1)gatbx-origin.zip (2)gatbx-toolbox.rar (3)gatbx-example.rar 2.调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads(1 attachment structure: gatbx.rar: (1) gatbx-origin.zip (2) gatbx-toolbox.rar (3) gatbx-example.rar 2 debugging using Matlab version 6.5, gatbx-toolbox is used during debugging toolkit, and some enthusiastic research has provided the Friends of the toolbox, paste again the reason is because the 6.5 version of the toolkit will be to debug some error, in this version has been corrected, use the toolkit to archive only under gatbx and gatbx Test_fns can be added to the Matlab search path, in addition to the University of Sheffield gatbx-origin is the original version of the tools available box, without making any changes, both to do comparison with the 3.gatbx-example is the study of debugging code and debugging examples illustrate, we can compare against the original book 4. I humbly believe gatbx than Matlab7 new toolbox toolbox under gads more people are familiar with and understand the principles of genetic algorithms and calculations, although less than in the visual )