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直觉模糊代数
- 直觉模糊代数，是学习的一篇好文章，值得-intuition fuzzy algebra, the study is a good article, it is worth a look at
ycsf
- 本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数-demonstration of this program is simple genetic algorithm used a random population, according to the cross-rate, the rate variation, calculated for generations to adapt to the greatest degree where
GAdownload
- 遗传求解求解一元二次方程的解源程序(下载点击GAdownload.c) 说明： 1 popu变量表示群体规模 2 L变量表示染色体的长度 3 pc,pm变量分别代表是交叉概率和变异概率 4 gen是迭代的代数 4 chromosome是一个全局的二维数组，里面存放的是个体的编码 5 程序最后的执行结果输出到了text.txt文本文件中-genetic solving quadratic equation to solve one yuan source solutio
MCRGSA
- MCRGSA------组播路由问题遗传模拟退火算法 ％M-----------遗传算法进化代数 ％N-----------种群规模，取偶数 ％Pm----------变异概率调节参数 ％K-----------同一温度下状态跳转次数 ％t0----------初始温度 ％alpha-------降温系数 ％beta--------浓度均衡系数 ％ROUTES------备选路径集 ％Num---------到各节点的备选路径数目 ％Cost-------
IntroMatlab_codepls
- PCA and PLS aims:to get some insight into the bilinear factor models Principal Component Analysis (PCA) and Partial Least Squares (PLS) regression, focusing on the mathematics and numerical aspects rather than how s and why s of data analysis
predict
- 模拟人的思维特点,提出一种新型智能控制器:仿人逻辑预测控制器. 该控制器融合了基于泛布尔代数的逻辑控制器和基于模型的预测控制器的特点, 是一种多值逻辑混合动态系统. Matlab仿真表明, 该控制器在模型匹配时性能良好, 在模型失配时依然能满意运行, 表现出鲁棒性强, 超调量小的特点. 与其它类型人工智能控制器相比, 该控制器结构简单, 物理背景明确, 数学概念清晰, 便于在工业控制领域推广应用.-Simulation of the characteristics of people' s
include
- 用遗传算法解根号2，求根号2，也就是求方程f(x)=x*x-2=0的正整数解，x=1时f(1)<0，x=2时f(2)>0，由介值定理，则1到2中间存在一个根，根据代数基本定理和根的对称性知这就是我们要找的根（废话，初中生都知道是1.414左右），由目标函数得到适应度函数，我们选择个体都在[1,2]之间，那适应度函数我可以取 j(x)=40/(2+|x*x-2|)-10，由x的取值范围知j的范围是(0,10) x和y交叉就用取平均(x+y)/2，交叉概率取0.9，变异概率为0，
GA
- 采用M语言编写，利用遗传算法二进制编码求函数极值的程序.可以设定编码位数，进化代数，种群大小等。-With M written in binary-coded genetic algorithm function extremum seeking procedure. Can be set to encode digits, evolution algebra, population size.
GA
- 遗传算法求解函数最大值 设计的种群规模，采用的选择算子，交叉概率，变异概率，进化代数和最优解-Design of population size, using the selection operator, crossover probability, mutation probability, evolutionary algebra and the optimal solution
face-recognition-algorithm
- 人脸识别 特征提取 代数特征抽取 子空间学习 投影寻踪 仿生模式识别 核方法-Face recognition feature extraction feature extraction algebra subspace projection pursuit learning pattern recognition of nuclear methods
nihilator
- 有限格蕴涵代数的零化子Finite lattice implication algebra of annihilator-Finite lattice implication algebra of annihilator
genetic
- c++实现的遗传算法解决八皇后问题，有时候会陷于局部收敛，导致进化代数很多-c++ implementation of genetic algorithm to solve the eight queens problem, and sometimes caught up in the local convergence, resulting in a lot of evolution algebra
yichuansuanfa
- 这是一个很好的遗传算法程序，本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数-This is a good genetic algorithm, the program demonstrates a simple genetic algorithm with a random population, then according to the crossover rate, mutation rate, calculate the maxim
GA3
- 计算最佳代数的遗传算法 机械零件版，包括二维与三维两种模式- 英语 中文(简体) 日语 Calculation best algebra genetic algorithm mechanical parts version, including 2D and 3D two modes
Gauss
- 用于数值代数Gauss消去法不选主元和列主元-Used for numerical linear algebra Gauss elimination technique don t choose the Lord and listed the yuan
Notes_Basics-of-Linear-Algebra-for-robotics
- Basics of Linear algebra for Robotics
Predictive-Controller
- 逻辑预测控制 仿人逻辑预测控制器设计. 该控制器融合了基于泛布尔代数的逻辑控制器和基于模型的预测控制器的特点, 是一种多值逻辑混合动态系统. Matlab仿真表明, 该控制器在模型匹配时性能良好, 在模型失配时依然能满意运行, 表现出鲁棒性强, 超调量小的特点. 与其它类型人工智能控制器相比, 该控制器结构简单, 物理背景明确, 数学概念清晰, 便于在工业控制领域推广应用-Simulating characteristics of human intelligent, a new intelli
hs_err_pi
- matlab基础学习资料实例，包括符号运算，绘图以及基础编程，也包含线性代数实验及matlab在在线性代数中的应用-Examples matlab-based learning materials, including symbolic computation, graphics and basic programming, linear algebra also contains experimental and matlab applications of linear algebra
gauss_seidel
- In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Frie
dlib-master
- networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets, and numerous other tasks (Boost License)