搜索资源列表
1.1
- 标准grove算法与pi/2相移算法的成功概率对比程序 标准grove算法与三种改进算法的成功概率对比程序-Standard grove algorithm and pi/2 phase shift algorithm is the probability of success compared with the three process standards grove algorithm improved algorithm compared the probability of pro
multi-ctp1
- 一个基于阈值的粒子比较准则，用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的；一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。-A comparison based on the threshold criteria for the particle to handle multi-objective
elevator
- 实际的场景，若电梯的最大载客量m=10，设电梯中已有的 客人服从0-10 之间的均匀分布，且电梯中的任意一人在任意一层下的 概率相同，若你在第三层需要乘电梯到第七层，电梯处在第一层，共 8 层。且在每一层等电梯到达他们的目的楼层的客人服从0-3 的均匀分 布此时我们对电梯的运行加一些限 制，即电梯中若有客人未达目的地，电梯不会改变运行方向，求直到 你到达第七层为止，，电梯需停次数的数学期望，并进行计算机模拟验 证。-The actual scene, if the m
matlabprobabilitydensity
- 用matlab实现概率方面的编程，包括随机数的生成函数方面知识-Probability with matlab implementation aspects of programming, including random number generation function of knowledge
gailvsuanfa
- 这是中国数学建模中编程交流上概率算法内容，里面提供了很多概率算法的例子-This is the exchange of mathematical modeling in the programming content on a probability algorithm, which provides many examples of probabilistic algorithms
cv_pdaf
- CV模型，利用概率数据关联算法和最近邻算法对其进行跟踪滤波，保证正确-CV model, the probabilistic data association algorithm and the nearest neighbor filter algorithm to track and ensure the correct
classicalprobabilityandstatisticscalculations
- 主要介绍MATLAB概率统计计算经典30例，非常实用。-Introduces MATLAB 30 cases of classical probability and statistics calculations, very practical.
PR
- 采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本-Bayes classifier is the most classic! Minimize the classification error. With the matlab language, with examples
PR1
- 采用身高和体重数据作为特征，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则.-Height and weight data used as the feature, under the assumption of normal distribution probability density estimation, establish Bayes minimum error rate classifier, written by the decision-mak
huffmannn
- 实现霍夫曼编码，根据随机概率编程霍夫曼码，有详细解释。-Huffman coding to achieve, according to random probability programming Huffman code, a detailed explanation.
001
- matlab绘制不同概率各种占空比的矩形随机信号的功率谱密度，本人亲自编写，代码精简效率高，且结果准确（网上流传的各种绘制矩形随机信号功率谱密度的matlab代码能画对的极少见...).-matlab draw rectangle with different probabilities of various duty cycle of the power spectral density of random signals, I am personally prepared, the cod
Ten_Commonly_Algorithm_for_MATLAB
- 超过10种MATLAB常用算法：Floyd算法，动态规划,分治算法,概率算法,模拟退火算法,神经网络,搜索算法,贪婪算法,遗传算法,组合算法,-Over 10 types of commonly used MATLAB algorithms: Floyd algorithm, dynamic programming, divide and conquer algorithms, probabilistic algorithms, simulated annealing, neural netwo
Bayesguji
- 用监督参数估计中的贝叶斯方法估计条件概率密度的参数u-With the supervision of the Bayesian estimation method to estimate the parameters of the conditional probability density of u
probability_statistics_in_matlab
- 非常详尽的，关于概率统计以及各种不同分布的随机信号产生的MATLAB实现-Very detailed, and various statistics on the probability distribution of the random signals generated by MATLAB implementation
pmtk3-24October2010
- 关于贝叶斯统计估计，图像模型，概率计算的程序包-Provide a unified conceptual and software framework encompassing machine learning, graphical models, and Bayesian statistics
8PSK
- 8PSK蒙特卡罗图分析，产生一个等概率且相互独立的二进制序列，将二进制序列通过串-并转换为一个三位码组。-8PSK Monte Carlo chart analysis, so the probability of generating a binary sequence and independent of each other, the binary sequence through series- and converted to a three code groups.
ray-doppler
- 自己编的瑞利信道模型和它的概率密度函数，初学者看很好-Own series of Rayleigh channel model and its probability density function, look very good for beginners
particle-filter
- 粒子滤波算法；粒子滤波算法源于Montecarlo的思想，即以某事件出现的频率来指代该事件的概率。因此在滤波过程中，需要用到概率如P(x)的地方，一概对变量x采样，以大量采样的分布近似来表示P(x)。因此，采用此一思想，在滤波过程中粒子滤波可以处理任意形式的概率，而不像Kalman滤波只能处理高斯分布的概率问题。他的一大优势也在于此。-these codes are particle filter resources codes which solve non-linear estimation
Shop-scheduling-genetic-algorithm
- 遗传算法车间调度,车间作业调度问题遗传算法 -------------------------------------------------------------------------- 输入参数列表 M 遗传进化迭代次数 N 种群规模(取偶数) Pm 变异概率 T m×n的矩阵，存储m个工件n个工序的加工时间 P 1×n的向量，n个工序中，每一个工序所具有的机床数目 输出参数列表 Zp 最优的Makespan值 Y1p 最优方案
work
- 利用反函数方法,在均匀分布的基础上产出具有瑞利分布的概率分布的数据.-By inverse function method, based on the output of uniform distribution with the Rayleigh distribution the probability distribution of the data.