detection_CLOSE_Compare_OPEN

随机共振理论及算法，能够实现经典随机共振过程，是源代码(Stochastic resonance theory and algorithms can achieve the classic stochastic resonance process, the source code)

A program to model EM Wave Scattering

Low Computational Iris Recognition Based on Moving Average Filter

说明：  量子力学相关内容的matlab模拟演示，包括内容很全，做了方便的用户界面(Quantum mechanics-related content of the matlab simulation demonstration)

此程序是在假设已知波达角的情况下进行仿真验证的实验，零陷music波速成形。(This procedure is known in the hypothetical case of DOA conducted simulation experiments, velocity forming nulls music.)

利用虚拟激励法模拟随机波浪，计算海洋平台的稳态响应(The use of virtual simulation of random wave excitation method to calculate the steady-state response of offshore platforms)

Kmeans.m对UCI数据集中的鸢尾花数据集进行kmeans算法聚类, Iris.txt 鸢尾花数据集 KMeans.m 鸢尾花KMeans聚类算法代码 test1.m，test2.m 鸢尾花算法测试集 包含数据的归一化 DataNorm.m数据归一化代码，DataStandard.m数据标准化代码 恩达老师的MATLAB视频中的代码 code(Kmeans.m clusters the kmeans algorithm for the Iris dataset in the UCI dataset, Iris.txt Iris dataset KMeans.m Iris KMeans clustering algorithm code test1.m, test2.m Iris algorithm test set Normalized data containing dataNorm.m data normalization code, DataStandard.m data normalization code The code in the MATLAB video of Teacher Enda the code is the code in the video.)

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)

说明：  可以进行傅立叶变换的matlab程序 保证可以使用 (Fourier Transform can guarantee that you can use matlab program)

用于计算机计算潮流的仿真运行程序,基于matlab程序编程的程序.(LOAD FLOW)