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AR

于 2019-08-21 发布

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说明：时间序列的自回归预测模型，是一个利用前期若干时刻的随机变量的线性组合来描述以后某时刻随机变量的线性回归模型(The autoregressive prediction model of time series is a linear regression model that describes random variables at a later time by using the linear combination of random variables at some earlier time.)

文件列表：

AR, 0 , 2019-08-21
AR\113172220matlab.zip, 61906 , 2019-04-09
AR\791792259ARMA_Analysis.zip, 36473 , 2019-04-09
AR\ARMA分析法.doc, 98304 , 2006-08-02
AR\Auto.txt, 463532 , 2013-05-28
AR\GP.txt, 313 , 2019-05-01
AR\ex09061.m, 1951 , 2006-08-02
AR\main.m, 3875 , 2019-05-01
AR\out09061.txt, 463 , 2019-04-09
AR\x09051.txt, 10762 , 2006-07-28

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locthresh
this program to help you to Find the local threshold of an image

2010-09-29 14:39:26下载

积分：1
FSK
第一章：绪论 1.1 引言 1.2 FSK简介 1.3 课题的主要研究工作及意义 1.4 FSK的发展及应用前景第二章：理论基础第三章：实验分析 (Chapter 1: Introduction 1.1 Introduction 1.2 FSK Introduction 1.4 FSK development and application prospects of the main research work and the significance of the 1.3 topics Chapter II: Theoretical Foundations: experimental analysis)

2012-11-26 21:28:44下载

积分：1
exercise
根据公式I（n-1）=（1-In）/n 令I11=0计算I1 到I10；根据公式In=1-nI(n-1) 令I0=0.6321 计算I1到I7；根据公式X2=a ，令a=2，计算X的值。(According to the formula I(n-1)=(1-In)/n ，set I11 equals zero，and count I1 to I10. According to the formula In=1-nI(n-1)，set I11 equals zero，and count I1 to I10. According to the formula X square equals a ，set a equals two ，then calculate X )

2010-05-09 21:54:01下载

积分：1
Bee-algorithm5
Bee algorithmBee algorithmBee algorithm(1)信号处理、(2)人工智能与模式识别、(3)神经网络、(4)图像处理、(5)数据挖掘、(Bee algorithm3)

2013-09-10 10:21:12下载

积分：1
2DCOS
用于计算二维相关光谱，P为同步二维相关光谱，Q为异步二维相关光谱； % data为m*n的光谱m为波长点数，n为样品数；(Two dimensional correlation spectroscopy)

2021-04-19 15:18:51下载

积分：1
ninteger
沙发大神啥都分数艾弗森沙发爱上艾弗森沙发沙发沙发(dsgsdgsdgr rg g wegsdgsgrw wer werew we)

2017-06-26 15:15:21下载

积分：1
Matlabppt
MATLAB的ppt讲解的很细致哦。希望有人能用到！！！！！(MATLAB ppt)

2009-04-06 01:05:42下载

积分：1
filter
This code will filter out the noise.

2013-02-08 15:27:33下载

积分：1
New-folder-(2)
chapman project machine

2012-06-24 03:18:42下载

积分：1
gender-classification-experiments
这是用身高体重数据进行性别分类的实验。用最小错误率贝叶斯分类器决策时，首先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，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )

2012-02-02 20:40:46下载

积分：1

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