YUZHI

循环平稳随机过程中，实现循环谱的matlab程序代码，大家一起分享(Cyclostationary random process, the realization of cyclic spectrum matlab program code share)

Hi this is matlab simulation

数值方法解方程组AX=B（LU分解），过程分3步，首先，分解系数矩阵A=LU，然后，解LY=B，最后再求UX=Y 另一种是直接求解的（2.1）(Numerical method to solve the equations AX = B (LU decomposition), 3 step process, first of all, the decomposition of the coefficient matrix A = LU, then, Xie LY = B, and finally seek UX = Y another directly solving (2.1 ))

说明：  分别建立pid控制与模糊PID控制的BLDC仿真模型，对比效果良好(BLDC simulation models of PID control and fuzzy PID control are established respectively, and the comparison results are good.)

最小二乘法、最佳均方逼近、随机拟合及其MATLAB程序(Least square method, the best mean square approximation, random process fitting and MATLAB)

基于MATLAB的模式识别的参数估计的最大似然估计，处理水环境分类问题，共分为5类，最后利用贝叶斯决策得出五类总的识别率。 (Maximum likelihood estimation of parameters of pattern recognition of MATLAB estimation based on classification of water environment treatment problem, is divided into 5 categories, the last use of Bayesian decision obtained five types of the total recognition rate. )

遗传算法无功优化，包括回归分析和概率统计，鲁棒性好，性能优越。( Genetic algorithm based reactive power optimization, Including regression analysis and probability and statistics, Robustness, superior performance.)

用于眼球阴影区域提取的matlab程序，附带测试用图像(Eye shadow zone for extraction matlab program, with test images)

对采集到的回转窑的大数据，绘制出窑体温度与气压的等高线图，通过图形可以分析，窑体工况(Large data collected kiln, draw contour map kiln temperature and pressure, can be analyzed through a graphical, kiln conditions)

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. */