nsga2_Matlab_xixilee

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

说明：  关于MATLAB DVB的 有兴趣的可以看看，主要还是在DVB中OFDM的仿真 ！说明是英文的哦！(On the MATLAB DVB interested can look at, mainly in DVB in OFDM simulation! Description is in English Oh!)

维纳匹配滤波器，在信号处理中，为了判断信号什么时候发生，维纳匹配滤波可以很好的检测信号是否发生，并在什么时候发生(wiener match fliter)

用matlab编辑的实现检测两直线交点的源代码，源代码包括两个程序(using Matlab Editor Detection two straight intersection of source code, source code, including two procedures)

说明：  运用多重网格求解泊松方程和双曲线方程，大家下着用吧 很好的 哈哈(use the multigrid method to solve posion equation)

等半径泊车方法仿真代码，实现等半径泊车算法的仿真，车辆参数如车长、车宽、转弯半径以及车位参数如长度、宽度均可调。(Simulation code radius ranging from parking way a radius ranging from parking the simulation algorithm, vehicle parameters such as vehicle length, vehicle width, turning radius and parking parameters such as length, width can be adjusted.)

CSTH的建模及相关仿真任务，包括非线性模型的开环及闭环控制，及加噪声的改进开环控制(CSTH modeling and simulation tasks related)

先进PID控制及其MATLAB仿真（刘金琨）书籍，第一章程序，学习PID算法的可以参考(Advanced PID control and MATLAB simulation (LiuJinKun) books, the first chapter, study of PID algorithm can reference)

this help you to know about tempreture

盲信号分离(BSS)是指在对彼此独立的源信号混合过程及各源信号本身均未知的情况下，从混合信号中分离出这些源信号的方法。BSS可以用来从多个麦克风混合语音信号中提炼出单个语音信号。本文简要阐述LMS、RLS算法，并通过仿真实验来分析比较这两类方法的性能，并利用此方法对一实际的语音信号进行分离。(Blind Signal Separation (BSS) is defined as independent of each other mixed-signal process and the source of the signal itself are unknown circumstances, from the mixed-signal to isolate the source of these signals. BSS can be used from multiple microphones mixed voice signal to extract a single speech signal. This paper briefly described LMS, RLS algorithm, and through simulation experiments to analyze the comparative performance of these two types of methods and take advantage of this method on a real speech signal separation.)