Applied-Numerical-Methods-Using-MATLAB

多目标遗传算法程序 to run Demo files, is to run SGALAB_demo_*.m what s new: 1) Multiple-Objective GAs VEGA NSGA NPGA MOGA 2) More TSP mutation and Crossover methods PMX OX CX EAX Boolmatrix 3) More selection methods Truncation tornament stochastic 4) mutation methods binary single point int/real single point 5) encoding/decoding methods binary integer/real messy gray DNA permuation to fix the plot bugs for 4001 , download this file and replace old files. (Multi-objective genetic algorithm program to run Demo files, is to run SGALAB_demo_*. m what s new: 1) Multiple-Objective GAsVEGANSGANPGAMOGA2) More TSP mutation and Crossover methodsPMXOXCX EAXBoolmatrix3) More selection methodsTruncationtornamentstochastic4) mutation methodsbinary single pointint/real single point5) encoding/decoding methodsbinaryinteger/realmessygrayDNA permuationto fix the plot bugs for 4001, download this file and replace old files.)

说明：  我自己写的程序,用matlab编写的,可以处理普通運算(I wrote the program, written with matlab)

mimo-ofdm系统中MMSE信道估计算法(mimo-ofdm system MMSE channel estimation algorithm)

免疫算法求函数极值(求得最小值），简单程序，用来帮助理解算法原理。(Immune algorithm for function extremum (minimum), simple procedures, to help understand the algorithm principle.)

说明：  Matlab在图像处理方面的例子 汽车牌照定位与字符识别(Matlab examples in image processing license plate location and character recognition)

分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)

matlab 实现的函数云模型的内容，有参考价值。代码详细。(matlab function to achieve the content of the cloud model, a reference value. Code detail.)

matlab中kalman滤波程序包，很全，实用(kalman filter in matlab package, very wide and practical)

关于反应谱精确法的求解，是大家经常做反应谱分析用到的(About response spectrum method of solving the accurate, we are often do response spectrum analysis of use )

matlab code for adaptive filter