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[matlab] MOSGA2 DL : 0: 基于ＮＳＧＡ-II方法的多目标遗传算法程序,本程序为通用包,可自行修改.-based NSGA-II method of multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own.
Date : 2026-01-08 Size : 4kb User : 许峰
[matlab] jiandan0101 DL : 0: 这是一个非常简单的遗传算法源代码，代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用 Gaussian变异替换均匀变异，可能得到更好的效果。代码没有任何图形，甚至也没有屏幕输出，主要是保证在平台之间的高可移植性。读者可以从ftp.uncc.edu, 目录 coe/evol中的文件prog.c中获得。要求输入的文件应该命名为‘gadata.txt’；系统产生的输出文件为‘galog.txt’。输入的文件由几行组成：数目对应于变量数。且每一行提供次序——对应于变量的上下界。如第一行为第一个变量提供上下界，第二行为第二个变量提供上下界，等等。 -This is a very simple genetic algorithm source code, code guarantees minimal, in fact there is no need Checking. For a specific application to amend this code, users only need to change the constant definition and the definition of "evaluation function" can. Attention to the design of the code for the maximum, the objective function can only take positive; and function and adapt to the individual was no difference between the value. The system uses ratio choices, the essence model, single point of hybridization and mutation uniform. If Gaussian variation replacement uniform variation, may be a better result. Code no graphics, or even no screen output, mainly to ensure that the platforms to the high portability. Readers can get ftp.uncc.edu. Contents coe/evol prog.c the document
Date : 2026-01-08 Size : 3kb User :
[matlab] s.t DL : 0: 有约束2a+b^2+tan(c)=15 目标函数a*exp(b/x)+c=y 的最小二乘解-Binding 2a+ B ^ 2+ Tan (c) = 15 the objective function a* exp (b/x)+ C = y the least squares solution
Date : 2026-01-08 Size : 1kb User : ZT
[matlab] NSGA-II DL : 3: 实现了多目标遗传算法NSGA2，并带有详细注释及相关论文，读者只需根据具体问题简要修改，即可使用。-Achieved a multi-objective genetic algorithm NSGA2, with detailed notes and related papers, the reader just a brief specific issues in accordance with changes to use.
Date : 2026-01-08 Size : 124kb User : 赵爽
[matlab] LearnObjectiveC DL : 0: basic code when you learn objective-c.
Date : 2026-01-08 Size : 64kb User : LeeJaewhan
[matlab] Objective-C-Coding-Style-Guidelines DL : 0: 参考Apple Coding Guidelines for Cocoa, Google Objective-C Style Guide, Three20 Source Code Style Guildelines，并结合自己的实际情况总结了一份编码规范。自己在实行的过程中确实感觉到代码更加清晰了，看上去也“专业”了。希望对编码尚不规范的童鞋有所帮助。-Reference Apple Coding Guidelines for Cocoa, Google Objective-C Style Guide, Three20 Source Code Style Guildelines, and combined with their own summary of the actual situation of a coding standard. Themselves in the process of implementation of the code do feel more clear, and looked " professional" the. Coding not want to help regulate the children' s shoes.
Date : 2026-01-08 Size : 213kb User : 马稳成
[matlab] MATLAB DL : 0: MATLAB函数参考手册，查看matlab函数作用以及功能。- SVMLSPex02.m Two Dimension SVM Problem, Two Class and Separable Situation Difference with SVMLSPex01.m: Take the Largrange Function (16)as object function insteads ||W||, so it need more time than SVMLSex01.m Method from Christopher J. C. Burges: "A Tutorial on Support Vector Machines for Pattern Recognition", page 9 Objective: min "f(A)=-sum(ai)+sum[sum(ai*yi*xi*aj*yj*xj)]/2" ,function (16) Subject to: sum{ai*yi}=0 ,function (15) and ai>=0 for any i, the particular set of constraints C2 (page 9, line14). The optimizing variables is "Lagrange Multipliers": A=[a1,a2,...,am],m is the number of total samples.
Date : 2026-01-08 Size : 548kb User : 王东东
[matlab] textfield DL : 0: objective-c textfield 下拉菜单实现-objective-c textfield drop-down menu to achieve
Date : 2026-01-08 Size : 579kb User : 郭历成
[matlab] Fama_French_model DL : 0: 沪深300指数三因子模型择时策略。 Fama的三因子认为影响股价主要取决于下面3个因子。 A：市场超额收益率（RMT） B：规模因子（SMB） C：账面市值比（HML）本策略目标是根据Fama三因子模型构建大盘小盘风格轮动策略。第1版张树德编写（sdzhang@wind.com.cn） 2013年9月5日参考：蒋瑛琨，国泰君安证券股份有限公司，多因子选股模型之因子分析与筛选Ⅰ:估值与财务成长类指标——数量化研究系列之十七。 -Three- factor Model Timing Strategy of Shanghai and Shenzhen 300 Index. Fama s three factors that affect the stock price depends mainly on the following three factors. A: Market excess return (RMT) B: Scale Factor (SMB) C: book-to-market ratio (HML) The strategy objective is to construct the small-cap style wheeled strategy based on the Fama three-factor model. First edition Zhang Shude prepared (sdzhang@wind.com.cn) September 5, 2013 reference: Factor Analysis and Screening of Multifactor Stock Selection Model Ⅰ: Valuation and Financial Growth Indicators- Quantitative Research Series XVII.
Date : 2026-01-08 Size : 1kb User : 吴桐
[matlab] 熵权法原理 DL : 1: 熵权法是一种客观赋权方法。它十分复杂，计算步骤如下: a.构建各年份各评价指标的判断矩阵: b.将判断矩阵进行归一化处理, 得到归一化判断矩阵: c.根据熵的定义，根据各年份评价指标，可以确定评价指标的熵。 d.定义熵权。定义了第n个指标的熵后，可得到第n个指标的熵权。 f.计算系统的权重值。(Entropy weight method is an objective method of empowerment. It is very complicated. The calculation procedure is as follows: A. construct the judgment matrix of each evaluation index in each year: B. Normalize the judgment matrix and get the normalized judgment matrix: C. According to the definition of entropy, the entropy of the evaluation index can be determined according to the evaluation indexes of each year. D. define entropy. After the entropy of the NTH index is defined, the entropy of the NTH index can be obtained. F. calculate the weight of the system.)
Date : 2026-01-08 Size : 104kb User : 名字好难
[matlab] 模糊C均值聚类算法 DL : 0: 模糊c-均值聚类算法通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的，一般用于故障识别与分类。(Fuzzy c- mean clustering algorithm obtains the membership degree of every sample point to all class centers by optimizing the objective function, and determines the classification of the sample points to achieve automatic classification of sample data. It is generally used for fault recognition and classification.)
Date : 2026-01-08 Size : 2kb User : 夜曲独声