On the splitting method for VQ codebook generation by using Matlab

矩阵相乘.zip - C语言源代码 矩阵相乘... - 本人这学期写八数码作业,采用三种人工智能算法,在-matrix multiplication. Zip-C language source code matrix multiplication ...- I wrote this semester eight digital operations, in three artificial intelligence algorithm, the

A branch-and-bound algorithm for asymmetric TSP

模糊数学建摸课件。讲述的是数学建模中模糊数学的概念，给初学者一个清晰地认识。-Fuzzy modeling courseware. About the mathematical concept of fuzzy mathematical modeling to give beginners a clear understanding of.

一个经典的C语言遗传算法程序包，可直接用来开发遗传算法的应用程序-a classic genetic algorithm C language package can be used directly for the development of the genetic algorithm application

一个基本遗传算法求函数最大值的程序，在Vc中运行结果很好，有详细的代码注释，可以做为模板使用。 sag_sag.c-a basic function of genetic algorithms for maximum procedures, the Vc running good results, a detailed source notes, can be used as a template. Sag_sag.c

调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) DP，三维数组，(i,j,k)为第k个样本的DP矩阵 targets 为 0 1 2 -process called CM = Confusion_matrix (train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB (DP, test_targets, CM) DP, three-dimensional array (i, j, k) for the k samples of DP matrix targets for 0 1 2

模拟退火算法 模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程，来寻找全局最优解的有效方法之一。 模拟退火的基本思想和步骤如下： 设S＝{s1,s2,…,sn}为所有可能的状态所构成的集合， f：S―R为非负代价函数，即优化问题抽象如下： 寻找s*∈S，使得f(s*)＝min f(si) 任意si∈S （1）给定一较高初始温度T，随机产生初始状态S （2）按一定方式，对当前状态作随机扰动，产生一个新的状态S’ S’＝S＋sign(η).δ 其中δ为给定的步长， η为[－1,1]的随机数-simulated annealing algorithm (Simulated Annealing, or SA algorithm) is a simulation of heating molten metal in the annealing process, to find the global optimum one of the effective ways. Simulated Annealing basic ideas and the steps are as follows : S = (s1, s2, ..., sn) for all possible state posed by the pool, f : S-R non-negative cost function, that is abstract optimization problems are as follows : Find S* s, making f (s*) = min f (si) arbitrary si S (1) to set a higher initial temperature T, randomly generated initial state S (2) of a certain form, the current state of random disturbance, have a new state S "S" = S+ sign (). delta where given for the step, [-1,1] Random Number

混沌识别，混沌特征指数的计算以及混沌预测。-Chaotic identification, chaotic characteristics of index calculation and prediction of chaos.

遗传算法求解车辆路径问题，没有解压缩的密码。-Genetic Algorithm for vehicle routing problem, no extract passwords.

GCP(图着色问题)的模拟退火算法应用源码-GCP (Graph Coloring Problem) application of the simulated annealing algorithm source code