-
kalman
一般KF和UDUKF的比较源程序代码,运行文件夹中的result.m文件。(General comparison of KF and UDUKF source code, run the file in a folder result.m file.)
- 2010-11-21 00:32:37下载
- 积分:1
-
Leapfrog
Leapfrog 法求解一介波动方程,初始条件:c=1m/s,x=1-2时,u=2m/s(Leaapfrog method to solve wave equation)
- 2014-11-29 07:10:10下载
- 积分:1
-
VEHICLE-SPEED
VEHICLE SPEED AND SPACING CONTROL VIA COORDINATED
THROTTLE AND BRAKE ACTUATION
- 2013-10-01 04:05:41下载
- 积分:1
-
the-philosophy-of-time-travel
The philosophy of Time Travel, By Roberta Sparrow
- 2015-02-02 15:26:51下载
- 积分:1
-
程序(1)
说明: 利用matlab的gui设计的带有输入和输出功能的界面图形,实现等距线可视性很强,自己独立编写的数据和图形,学习非常值得,实现pca压缩图像,matlab语言(The interface graphics with input and output function designed by GUI of Matlab can realize the visibility of isometric line. The data and graphics compiled independently by oneself are worth learning. The realization of PCA compressed image and MATLAB language is very worthwhile.)
- 2020-06-19 18:20:01下载
- 积分:1
-
多目标遗传算法
电力系统规划多目标遗传算法程序matlab程序(Multiobjective genetic algorithm)
- 2018-07-07 11:54:45下载
- 积分:1
-
Minimum-Risk-Bayes-classifier
这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下,自行完善了在一定先验概率的条件下,男、女错误率和总错误率的统计,放入各个数组当中。
全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。
调用最大似然估计求取概率密度子函数时,第一步获取样本数据,存储为矩阵;第二步对矩阵的每一行求和,并除以样本总数N,得到平均值向量;第三步是应用公式(3-43)采用矩阵运算和循环控制语句,求得协方差矩阵;第四步通过协方差矩阵求得方差和相关系数,从而得到概率密度函数。
调用最小风险贝叶斯分类器决策子函数时,根据先验概率,再根据自行给出的5*5的决策表,通过比较概率大小判断一个体重身高二维向量代表的人是男是女,放入决策数组中。
主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件,并调用最大似然估计求取概率密度子函数,对分类器进行训练。第二步打开“test2.txt”,调用最小风险贝叶斯分类器决策子函数,然后再将数组中逐一与已知性别的数据比较,就可以得到在一定先验概率条件下,决策表中不同决策的错误率的统计。
(This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array .
All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions .
Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function .
Bayesian classifier )
- 2012-02-02 20:37:04下载
- 积分:1
-
lssvm
最小二乘支持向量机对数据进行分类,求出精确度,用于故障诊断(Least Square Support Vector Machine classifies the data and finds out the accuracy for fault diagnosis.)
- 2020-06-23 19:00:02下载
- 积分:1
-
toolbox_fast_marching
The goals of this tool is to manipulate the fast marching algorithm in 2D and 3D. Application to shortest path extraction (e.g. road tracking and tubular structure extraction in medical images), shape statistics and geodesic remeshing are presented.(The goals of this tool is to manipulate the fast marching algorithm in 2D and 3D. Application to shortest path extraction (eg road tracking and tubular structure extraction in medical images), shape statistics and geodesic remeshing are presented.)
- 2007-12-17 20:29:19下载
- 积分:1
-
GPSDemocode
GPS演示程序,比较TYPE2, DAMP2 and DAMP3 车辆模型。程序中仿真1.5公里90kph速度。来自电子书全球定位系统和惯性导航集成。
- 2011-01-07 22:54:51下载
- 积分:1