tupianliulanqi

practice of statistics with the help of matlab using ANOVA

本算法在训练步数、训练时间及其误差精度等方面都优于常规的模糊神经网络，其学习收敛速度快、误差曲线也更稳定。(the algorithm steps in training, training time and error accuracy is superior to the conventional fuzzy neural network, learning fast convergence, the error curve is more stable.)

条带合成孔径雷达的点目标仿真程序，比较基础(Strip of synthetic aperture radar point target simulation program, a basis for comparison)

该程序对于重力异常的数据可以进行导数换算，对于重力数据处理有很大的用处。(The procedure for the gravity anomaly data can be derivative conversion, is very useful for processing gravity data.)

基于pocklington方程和hallen方程的矩量法求解线天线电流分布和方向图(Based pocklington equation and hallen equation method of moments current distribution and antenna pattern)

QuantRefine using matlab

步进频信号的回波建模，使用连续短脉冲实现雷达的高分辨测量(Echo Modeling stepping frequency signal, continuous short pulses to achieve high-resolution radar measurements)

云南电网结题程序，打开.dat的文件，用于进行电能质量的分析。(Yunnan Power Grid node title program, open the dat file for the analysis of power quality.)

UPX GUI Compressor By Chuli

说明：  In this paper, an attractive approach for teaching genetic algorithm has been presented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation, and selection. An advantage of using such an approach is that the student becomes familiar with some advanced features of MATLAB, and furthermore, with the availability of other MATLAB Toolboxes such as The Control Systems Toolbox, Neural Network Toolbox and Fuzzy Logic Toolbox, it is possible for the student to develop genetic algorithm-based approaches to designing intelligent systems, which could lead to his/ her final year or MSc project.