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[Bio-RecognizeGA_cSharp

Description: 遗传算法C#代码,主要是解决多目标优化问题。只是算法的基本实现- Genetic Algorithm C# code, mainly to solve the multi-objective optimization problem. Just basic implementation of the algorithm
Platform: | Size: 493568 | Author: chenyanjiao | Hits:

[Software EngineeringUIAlertController.doc

Description: 自己总结的Objective-c的提示框的样式,主要有两种样式,应用于IOS7以上的版本-Own summary of the Objectivec prompt box style, there are mainly two kinds of style, is applied to the IOS7 version of the above
Platform: | Size: 673792 | Author: 莫子慕 | Hits:

[Data structscomplex

Description: 一、实验名称:Complex类的运算符重载 二、实验目的:这个实验题目的主要目的是让同学们掌握c++运算符重载的用法 三、实验内容: 编写一个Complex类,需要完成的运算符重载有: (1) + :重载+,用来完成两个复数的加法; (2) -:重载-,用来完成两个复数的减法; (3) *:重载*,用来完成两个复数的乘法; (4) <<:重载<<,用来输出一个复数,输出的格式为(a + b * i),其中a为实部,b为虚部。-First, the experiment name: Complex class operator overloading Second, the purpose of the experiment: The main objective of the experimental subject is to enable students to grasp c++ operator overloading usage of three experimental content: write a Complex class, complete operator overloading are: (1 ) PPLS: PPLS overloaded, used to complete the addition of two complex numbers (2)-: overloaded- for performing subtraction of two complex numbers (3)*:* overloaded for performing two complex multiplication (4) < < : < < overloaded, the output format is used (a+ b* i), where a is the real part, b is the imaginary part of a complex number output.
Platform: | Size: 239616 | Author: 刘微笑 | Hits:

[AlgorithmQuadratic-Programming

Description: 功能:用拉格朗日方法求解等式约束二次规划:min f(x)=0.5*x Hx+c x,s.t.Ax=b 输入:H,c分别是目标函数的矩阵和向量,A,b分别是约束条件中的矩阵和向量 输出:(x,lam)是KT点,fval是最优值。-Function: Lagrangian method for solving equality constrained quadratic programming: min f (x) = 0.5* x Hx+ c x, s.t.Ax = b Input: H, c are the matrix and vector objective function, A, b are the constraints in the matrices and vectors Output: (x, lam) is KT point, fval optimal value.
Platform: | Size: 2048 | Author: Aira.W | Hits:

[OS programTinySTL

Description: 采用C++11实现一款简易的STL标准库,既是C++STL的一个子集(裁剪了一些容器和算法)又是一个超集(增加了一些容器和算法) 目的:练习数据结构与算法和C++ Template编程 编译环境:VS2013及以上版本-C++11 realized using a simple STL standard library, not only a subset of C++STL (clipping some containers and algorithms) is a superset (adding some containers and algorithms) Objective: Exercise data structures and algorithms and programming compiler C++ Template environment: VS2013 and above
Platform: | Size: 2692096 | Author: 张三 | Hits:

[Picture Viewerthmogenr

Description: resonance imaging (MRI) data and estimation of intensity inhomogeneities using fuzzy logic. MRI intensity inhomogeneities can be attributed to imperfections in the radio-frequency coils or to problems associated with the acquisition sequences. The result is a slowly varying shading artifact over the image that can produce errors with conventional intensity- based classification. Our algorithm is formulated by modifying the objective function of the standard fuzzy c-means (FCM) algorithm to compensate for such inhomogeneities and to allow the labeling of a pixel (voxel) to be influenced by the labels in its immediate neighborhood. The neighborhood effect acts as a regularizer and biases the solution toward piecewise-homogeneous labelings. Such a regularization is useful in segmenti
Platform: | Size: 227328 | Author: yangs | Hits:

[matlabFama_French_model

Description: 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.
Platform: | Size: 1024 | Author: 吴桐 | Hits:

[Algorithmnsga2code

Description: C语言开发的基于基因遗传算法进行多目标优化设计-C language development based on genetic genetic algorithm for multi-objective optimization design
Platform: | Size: 18432 | Author: 王志坚 | Hits:

[matlab熵权法原理

Description: 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.)
Platform: | Size: 106496 | Author: 名字好难 | Hits:

[Special Effects21

Description: 利用对数变换进行图像变换 公式:x1=c*log(double(x)+1)(1.Image Enhancement Using Intensity Transformations The focus of this project is to experiment with intensity transformations to enhance an image. Download Fig. 3.8(a) and enhance it using (a) The log transformation of Eq. (3.2-2). (b) A power-law transformation of the form shown in Eq. (3.2-3). In (a) the only free parameter is c, but in (b) there are two parameters, c and r for which values have to be selected. As in most enhancement tasks, experimentation is a must. The objective of this project is to obtain the best visual enhancement possible with the methods in (a) and (b). Once (according to your judgment) you have the best visual result for each transformation, explain the reasons for the major differences between them.)
Platform: | Size: 33792 | Author: seayon | Hits:

[Mathimatics-Numerical algorithmsmain

Description: 遗传算法简单实现 基于c++编写 求解目标函数极值(Genetic algorithm is simple, and is based on c++ to solve the extreme value of objective function.)
Platform: | Size: 1024 | Author: cc18409 | Hits:

[Othermopso

Description: MOPSO多目标粒子群优化算法c++实现(内附其对应论文),其代码写作规范具有参考价值,其对应论文供大家学习与交流。(MOPSO multi-objective particle swarm optimization algorithm c++ implementation (with its corresponding papers), its code writing specification has a reference value, the corresponding papers for everyone to learn and exchange.)
Platform: | Size: 4928512 | Author: 咖喱1 | Hits:

[Other大学生数学建模竞赛

Description: % jm96a - 捕鱼策略 % jm96b - 节水洗衣机 % jm96bfun - 节水洗衣机优化函数 % jm97a - 零件参数设计 % jm97afun - 零件参数函数 % jm97aoptim - 零件参数设计优化函数 % jm97b - 截断切割 % jm97bcount - 截断切割枚举法 % jm97brule - 截断切割优化准则 % jm98a1 - 风险投资模型求解 % jm98a2 - 风险投资模型讨论 % jm98a3 - 收益与风险非线性模型求解 % jm98a3fun - 收益与风险非线性模型优化函数 % jm98b - 灾情巡视路线(C程序) % jm99a1 - 自动化车床模型一 % jm99a1fun - 自动化车床模型目标函数 % jm99a1simu - 自动化车床模型随机模拟 % jm99asmfun - 自动化车床模型费用函数(Fishing strategyWater-saving washing machineOptimization function of water-saving washing machinePart parameter designPart parameter functionJm97aoptim - part parameter design optimization functionCut offEnumeration method of truncated cuttingOptimization criteria for truncated cuttingSolve the venture capital modelDiscussion of the venture capital modelSolve the non-linear model of return and riskOptimization function of nonlinear modelDisaster patrol route (C procedure)Automatic lathe model 1Jm99a1fun - automatic lathe model objective functionRandom simulation of automatic lathe modelJm99asmfun - automation lathe model cost function)
Platform: | Size: 121856 | Author: -Lene- | Hits:

[Other模糊聚类R代码

Description: 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它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。(Fuzzy c-means clustering algorithm or FCM. Among many fuzzy clustering algorithms, the Fuzzy C-Means algorithm is the most widely used and successful. It obtains the membership degree of each sample point to all the class centers by optimizing the objective function, so as to determine the class of the sample points to achieve the purpose of automatic classification of the sample data.)
Platform: | Size: 1024 | Author: 卡擦 | Hits:
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