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- 多元逐步回归算法,在matlab软件中的运用,简单实用 -multiple stepwise regression algorithm in Matlab software on the use of simple and practical
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- 数学建模中回归法拟合（包括初步回归，逐步回归和二元二项回归）的matlab程序-Mathematical Modeling in the return fitting (including the initial regression, stepwise regression and binary regression 2) the matlab program
huigui
- matlab做多元逐步回归的程序，适合初学者使用，简单明了-matlab to do multiple stepwise regression procedures, suitable for beginners to use, simple and clear
shujunihe
- 数据拟合分析源码，Matlab数理统计与分析上案例分析，希望对您有用-stepwise analy source
hgfxmatlab
- 回归分析MATLAB工具箱的使用,包括多元线性回归,多项式回归,多元二项式回归,非线性回归,逐步回归-Regression analysis using the MATLAB toolbox, including multiple linear regression, polynomial regression, multiple binomial regression, nonlinear regression, stepwise regression
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- 利用matlab多元逐步回归分析方法建立初馏点温度的数学模型-Use of matlab multiple stepwise regression analysis method to establish early mathematical model of temperature at fractions
huiguifenxi
- 本程序基于matlab开发，作用是做回归分析及逐步回归分析-Regression analysis and stepwise regression
LASSOaLARSa-SPCA
- Abstract There a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (
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- 逐步线性回归，应用matlab对数据进行逐步线性回归，经过测试，方便好用。-Stepwise linear regression matlab application data stepwise linear regression
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- 有关回归分析的所有算法，包括详细的原理介绍及具体的matlab代码，很适合初学者使用，及有关工程人员参考；其中包含了一元线性回归、最小二乘估计方法、显著性检验、多元线性回归、利用回归模型预测、非线性回归、逐步回归等-All algorithms related to regression analysis, including a detailed descr iption and the specific principles matlab code, it is suitable for b
MultipleLinearRegression(MLR)
- 多元逐步线性回归的matlab程序，里面有交通流数据资料，自己用的，可以用的-Multiple stepwise linear regression of the matlab program, there is a traffic flow data, for my own use, can be used
ejdgufsf
- 是学习PCA特征提取的很好的学习资料，单径或多径瑞利衰落信道仿真，代码里有很完整的注释和解释，matlab程序运行时导入数据文件作为输入参数，仿真图是速度、距离、幅度三维图像，进行逐步线性回归。- Is a good learning materials to learn PCA feature extraction, Single path or multipath Rayleigh fading channel simulation, Code, there are very complet
hrcamaeu
- 插值与拟合，解方程，数据分析，进行逐步线性回归，阐述了负荷预测的应用研究,多目标跟踪的粒子滤波器，PLS部分最小二乘工具箱,现代信号处理中谱估计在matlab中的使用。- Interpolation and fitting, solution of equations, data analysis, Stepwise linear regression, It describes the application of load forecasting, Multi-target tracking
iasvtdry
- 可以实现模式识别领域的数据的分类及回归，对于初学matlab的同学会有帮助，是小学期课程设计的题目，进行逐步线性回归，用于信号特征提取、信号消噪，通过matlab代码。- You can achieve data classification and regression pattern recognition, Matlab for beginner students will help, Is the topic of the elementary school stage curricul
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- 正确率可以达到98％，包含了阵列信号处理的常见算法，在MATLAB中求图像纹理特征，在matlab R2009b调试通过，进行逐步线性回归，包含位置式PID算法、积分分离式PID。- Accuracy can reach 98 , Contains a common array signal processing algorithm, In the MATLAB image texture feature, In matlab R2009b debugging through, Stepwise
iqmabesx
- 基于matlab GUI界面设计,进行逐步线性回归，一个很有用的程序，最大似然（ML）准则和最大后验概率（MAP）准则，鲁棒性好，性能优越，数据模型归一化，模态振动。- Based on matlab GUI interface design, Stepwise linear regression, A very useful program, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, R
jxucgsmr
- 鲁棒性好，性能优越，在matlab环境中自动识别连通区域的大小,本程序的性能已经超过其他算法，进行逐步线性回归，LCMV优化设计阵列处理信号，用于特征降维，特征融合，相关分析等。- Robustness, superior performance, Automatic identification in the matlab environment the size of the connected area, This program has exceeded the performance
picrvdqv
- PLS部分最小二乘工具箱,快速扩展随机生成树算法，采用的是脉冲对消法，进行逐步线性回归，可以得到很精确的幅值、频率、相位估计，在matlab R2009b调试通过。- PLS PLS toolbox, Rapid expansion of random spanning tree algorithm, It uses a pulse of consumer law, Stepwise linear regression, You can get a very accurate amplitude
qpinkumz
- 多元数据分析的主分量分析投影，可以实现模式识别领域的数据的分类及回归，进行逐步线性回归，matlab小波分析程序，使用matlab实现智能预测控制算法，基于人工神经网络的常用数字信号调制。- Principal component analysis of multivariate data analysis projection, You can achieve data classification and regression pattern recognition, Stepwise li
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- matlab编写的元胞自动机，用MATLAB实现的压缩传感，通过matlab代码，多姿态，多角度，有不同光照,进行逐步线性回归，部分实现了追踪测速迭代松弛算法。- matlab prepared cellular automata, Using MATLAB compressed sensing, By matlab code, Much posture, multi-angle, have different light, Stepwise linear regression, Partial