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Fuzzy knowledge-based system identification and modeling process is composed of two parts: variable identification and parameter identification. In variable identification, the significant variables of the system are identified among the set of possible variables. In parameter identification, the parameters of the knowledge-based system that describe the relationship between input and the output variables are identified. Parameter identification method consist of two steps: 1-find fuzzy clusters to establish the number of fuzzy rules 2-optimize the rule consequents. This code perform a fuzzy clustering using subtractive clustering

一个非常有用的用遗传算法求解tsp的小例子，简洁易懂。(A very useful small example using genetic algorithms to solve tsp, concise and easy to understand.)

k均值聚类，有聚类数目，聚类中心，实现有效聚类。(k-means clustering, there is the number of clusters, cluster centers achieve effective clustering.)

在matlab中读取.dat中的数据，并求取均值和方差。(In matlab to read. Dat the data and obtain the mean and variance.)

perfect matlab language textbook,highly recommend!

说明：  在comsol中计算石墨烯条带的示例，包含comsol文件以及对应的matlab函数(Calculation method of graphene ribbons)

说明：  遗传算法视频课配套程序，包括调用函数，目标函数，主函数等，非常全，可以运行(genetic algorithm program, with a detailed explanation of the objective function, Part II)

Best Ebook on pattern analysis

主元分析中对主元的个数确定目前没有非常好的办法,这里提供一个比较方便实现的matlab程序,利用累计方差贡献率确定主元个数的matlab程序(Principal component analysis of main elements to determine there is no good way, here to provide a more convenient realization of the matlab program, using the cumulative variance contribution rate to determine the number of principal components of the matlab program)

亚式期权和欧式期权的一篮子组合以及策略测试(Asian options and European options on a basket of portfolio and strategy testing)