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computerwork_1
- 1) 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线; 2) 写出最陡下降法, LMS算法的计算公式( ); 3) 用MATLAB产生方差为0.05,均值为0白噪音S(n),并画出其中一次实现的波形图; 4) 根据2)中的公式,并利用3)中产生的S(n),在1)中的误差性能曲面的等值曲线上叠加画出采用最陡下降法, LMS法时H(n)的在叠代过程中的轨迹曲线。 5)用MATLAB计算并画出LMS法时 随时间n的变化曲线(对 应S(n)的某一次的一次实现)和e(n)波形;某
kekaodu
- 结构可靠度编程2个大的例题,以及对于的作业电算MATLAB代码-The structural reliability programming two examples, as well as for the job Computing MATLAB code
CCS
- 计算机控制系统5道大题作业,有详细求解过程及相应的matlab程序。-five task of Computer Control System with detail solution and conresponding to matlab programing
xy944374
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 appVlG 算法中的k均值聚类算法,模式识别大作业,在MATLAB nnVjqZo环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is appVlG classification algorithm in the k-means clustering algorithm, pattern recognition large
xy951926
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 GbmWLR 算法中的k均值聚类算法,模式识别大作业,在MATLAB SxHqgPl环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is GbmWLR classification algorithm in the k-means clustering algorithm, pattern recognition large
xy987730
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 phRyZB 算法中的k均值聚类算法,模式识别大作业,在MATLAB PSdHOFp环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is phRyZB classification algorithm in the k-means clustering algorithm, pattern recognition large
xy996844
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 lJSMXj 算法中的k均值聚类算法,模式识别大作业,在MATLAB rpFmNRI环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is lJSMXj classification algorithm in the k-means clustering algorithm, pattern recognition large
ygeaxkeh
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 eNmEfC 算法中的k均值聚类算法,模式识别大作业,在MATLAB uusgPBU环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is eNmEfC classification algorithm in the k-means clustering algorithm, pattern recognition large
r_aenkqbcg
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 bCMRJU 算法中的k均值聚类算法,模式识别大作业,在MATLAB cTQbzds环境下,性能优良。 -I write MATLAB program, just started to learn some data mining only, is bCMRJU classification algorithm in the k-means clustering algorithm, pattern recognition la
mjvikjtv
- 最大似然(ML)准则和最大后验概率(MAP)准则,应用小区域方差对比,程序简单,matlab程序运行时导入数据文件作为输入参数,旋转机械二维全息谱计算,是路径规划的实用方法,研究生时的现代信号处理的作业。-Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Application of small area variance comparison, simple procedures, Import
The-homework-of-Pattern-Recognition
- 模式识别大作业,包括k均值算法,感知器算法等介绍及其MATLAB程序-The homework of Pattern Recognition, including the k-means algorithm, Perceptron algorithm introduces its MATLAB program
Mtkluo815
- 信号检测与估值大作业,MATLAB画出ROC理论曲线,蒙特卡洛实验画出时间曲线-Signal Detection and valuation of large operations, MATLAB draw ROC curve theory, Monte Carlo experiment shown time curve
sod
- 哈工大计算流体力学大作业,一维sod激波管数值求解matlab程序-HIT CFD large operations, a sod-dimensional shock tube numerical solution matlab program
1233444
- cdma通信系统仿真代码,matlab仿真程序,大作业设计-CDMA communication system simulation code, matlab simulation program, large operations design
CDMAthvy
- cdma通信系统仿真代码,matlab仿真程序,大作业设计-CDMA communication system simulation code, matlab simulation program, large operations design
Beyes
- 实验要求: 1. 以身高为例,画出男女生身高的直方图并做对比; 2. 采用最大似然估计方法,求男女生身高以及体重分布的参数; 3. 采用贝叶斯估计方法,求男女生身高以及体重分布的参数(假定方差已知,作业请注明自己选定的一些参数情况); 4. 采用最小错误率贝叶斯决策,画出类别判定的决策面。并判断某样本的身高体重分别为(160,45)时应该属于男生还是女生?为(178,70)时呢?(Experimental requirements: 1. take height as an exa
stewart
- Stewart的MATLAB仿真程序源代码,Stewart平台并联机构由于具有刚度大、承载能力强、位置误差不累计等特点,在应用上与串联机构形成互补,已成为空间机构学的研究热点。目前,Stewart平台并联机构已经在航空、航天、海底作业、地下开采、制造装配等行业有着广泛的应用。
mdocument
- MATLAB矩阵位移法计算桁架节点位移,结构力学大作业(Calculation of displacement of truss joints by MATLAB matrix displacement method)
模式识别代码
- 基于matlab的Iris、乳腺癌数据集的模式识别分类算法,含有 遗传算法+SVM、isodata、感知器算法、LMSE、神经网络等算法的实现代码,用于聚类效果良好,是模式识别大作业的参考资料(The pattern recognition classification algorithm based on MATLAB for Iris and breast cancer data sets contains the implementation code of genetic algorit
puma560
- PUMA560机器人正运动学求解,MATLAB代码,机器人技术大作业,机器人技术大作业,机器人技术大作业,(PUMA560 Robot Positive Kinematics Solution, MATLAB Code, Robot Technology Big Work, Robot Technology Big Work, Robot Technology Big Work,)