fcmamatlab

简单版PID带干扰的SIMULATION仿真(Simple version of PID with Interference Simulation)

TSP问题（又名：旅行商问题，货郎担问题）遗传算法通用matlab程序 D是距离矩阵，n为种群个数 参数a是中国31个城市的坐标 C为停止代数，遗传到第 C代时程序停止,C的具体取值视问题的规模和耗费的时间而定 m为适应值归一化淘汰加速指数,最好取为1,2,3,4,不宜太大 alpha为淘汰保护指数,可取为0~1之间任意小数,取1时关闭保护功能,建议取0.8~1.0之间的值 R为最短路径,Rlength为路径长度( TSP problem (also known as: traveling salesman problem, traveling salesman problem) genetic algorithm generic matlab program D is the distance matrix, n is the population number of parameters a C coordinates of the 31 cities to stop algebra, genetic to C on behalf of the program stops, the specific values ​ ​ of C depending on the size and time-consuming, m alpha for the fitness value of the normalized phase-out acceleration index, and is best taken as 1, 2, 3, 4, and not too much eliminated the protection index, it is desirable for any decimal between 0 and 1, taking 1:00 off the protective function, it is recommended to take a value between 0.8 to 1.0 R for the shortest path, Rlength for the path length)

光传输链路的分步傅立叶算法仿真核心代码，可以绘制曲线观察演化过程(Optical link simulation step Fourier algorithm for the core code, you can draw the curve evolution process of observation)

清音和浊音的平均幅度，短时过零率，基音周期，对数幅度谱，高低时部分(Voiceless and voiced the average range, short-term zero crossing rate, pitch period, the number of amplitude spectrum, high or low section)

81 line topology optimization

佛洛依德算法能够求出图中任意两点之间的最短距离(Freud algorithm can find the figure the shortest distance between any two points)

给需要的朋友参考 主要是滤波器的设计 大家可以下下来 作为设计的基础参考(Reference to a friend in need is mainly designed to filter down we can make a basis for the design reference)

人口增长（动物繁殖）模型，确定种群的固有增长率和稳定分布，建立稳定收获模型。 (it is about a model of population increasing)

悬置功能计算的，能量解耦的方法，优化及其位移的计算(The calculation of suspended function, energy decoupling method, optimization and calculation of displacement)

根据系统辨识的系统模型，采用KALMAN滤波算法，根据期望信号和观测信号求未知的系统。(According to the system model system identification, using KALMAN filtering algorithm, based on the desired signal and the observed signal seeking unknown system.)