fuzzy

说明：  matlab的一些常用算法(包括遗传算法等常用算法）(matlab some commonly used algorithms (including genetic algorithms and other commonly used algorithms))

此文件是应用主元分析法进行故障信号处理的matlab语言，有很强的实用性，包括漂移故障，短路故障，开路故障等情况。(This file is the application of principal component analysis for fault signal processing matlab language, very practical, including drift fault, short circuit fault, open circuit failure.)

数学建模经典问题轮船调配问题，详细解答了各个问题，并附有轮船到达的模拟程序(Mathematical modeling of the classic problems ship deployment issues, detailed answers to each question, along with the ship arrived simulation program)

说明：  code for calculate lyapnov exponent largest good

基于matlab的软件设计，检测自然场景图片中的文本位置(failed to translate)

说明：  基于灰色系统 GM( 1，1) 模型实现滑坡位移监测(Realization of landslide displacement monitoring based on GM (1,1) model of grey system)

产生宽带QPSK信号，并通过rrc滤波，用于检验发射通路的EVM等指标(Produce wideband QPSK signals, and by rrc filter, used to test the emission path of EVM and other indicators)

最优控制内容，关于找到最优解的问题：主要是对极小值原理、动态规划、线性二次型的应用。(Find the optimal solution for the problem，about minimum principle, dynamic programming, linear quadratic applications)

kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis.(kfdemo.m Matlab is a script file to run a dem onstration of the Bayesian Kalman filter. It lo kfdemo.mat ads file (saved as version 4 so that i t will read in either v4 or v5 Matla#$#!254253#!#$C-Algorithm- XSL.zip!#$#"C algorithms suite" of source code, Shi-Liang Xu book, a lot of highly efficient C language algorithms, those self-help programming.)

新型的蝙蝠算法程序代码，可用于各种工程优化，生产调度，组合函数优化等复杂问题。具有高效的搜索效率。(The new bat algorithm code, can be used for a variety of engineering optimization, production scheduling, and other complex combination of function optimization problems. A highly efficient search efficiency.)