Lynch_2013a

说明：  《MATLAB 7.0编程基础基础》源程序，适合初学者使用，第3章(&quot MATLAB 7.0 programming foundation base&quot source, suitable for beginners, Chapter 3)

（1） 本系统用到四种神经网络对漏电嫌疑系数进行预测，分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络，通过对神经网络结构参数的设置和调试，可以得到很好的预测效果，实际值和预测值之间的误差能达到5 以内。 （2） 本系统使用matlab做GUI界面，在界面上就可以分别对这四种神经网络的结构参数进行设置，从而可以调整神经网络的结构，达到较好的预测精度。 ((1) The system used four neural network to predict the suspected leakage coefficient, respectively, the BP neural network, RBF neural network, GRNN neural network, Elman neural network, the neural network structure parameter setting and commissioning, can get very good prediction, between the actual and predicted values ​ ​ of error of less than 5 . (2) the use matlab to do the GUI interface, the interface can each of these four neural network structure parameters set, the structure of the neural network, which can be adjusted to achieve better prediction accuracy.)

用matlab编写的车牌识别程序，已经调试过了(Written by matlab license plate recognition program, has been the commissioning)

Zhou Wang proposed a new idea of Structural Similarity Index (SSIM )for image quality measurement based on the assumption that the HVS is highly adapted to extract structural information from the viewing field. The Mean Structural Similarity Index (MSSIM) contains three parts: Luminance Comparison l(x, y), Contrast Comparison c(x, y) and Structure Comparison s(x, y).

这个是永磁同步电机矢量控制系统仿真，仿真结果正确，可以在空载、加载下很好的跟踪转速给定值。(This is a permanent magnet synchronous motor vector control system simulation, simulation results are correct, you can no load, a very good track speed setpoint under load.)

A support vector machine (SVM) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.

matlab中编写计算器程序，matlab中编写计算器程序(matlab calculator in the preparation of procedures, matlab calculator in the preparation of procedures)

使用Matlab开发的自适应均衡器示例，包括LMS、NLMS、RLS等多种算法的实现(An Adoptive Channel Equalizer by Matlab. Including LMS, NLMS, RLS algorithms.)

排列熵，算法简单，运算速度快，对噪声不敏感，计算值稳定等优点(The entropy is simple, the operation speed is fast, it is not sensitive to noise and the calculated value is stable.)

按照一定的规则，对一定的样品进行分类的程序(According to certain rules, certain procedures for the classification of samples)