搜索资源列表
seqcurvefit21
- 多元模型回归与分析-2 matlab 程序-multiple regression model analysis with Matlab procedures -2
HMM
- :为了使应力变异在顽健语音识别系统中能够达到较好的识别效果,研究了基于隐马 尔可夫模型(HMM)的自适应技术,提出了将最大后验概率(MAP)和最大似然回归方法(MLLR)用 于应力变异语音的自适应中。实验结果表明,与基本系统相比,两种方法均有效地提高系统识别 率。以SD为初始模型的最大后验概率方法在150个训练样本时识别效果最好,可以达到90.4% 。-: In order to stress variation in the robustness of speech recogni
MAR
- 语音分析软件,多变量自动回归模型。主要是用来对语音信号进行长时分析。计算MAR特征-Voice analysis software, multivariate automatic regression model. Is primarily used for voice signal analysis of long. MAR features calculated
Multiple-linear-regression-model
- 多元线性回归模型,用C++语言编写而成,可运行-Multiple linear regression model,written by visual C++
myregTrees
- 基于Python的回归树实验,包含预剪枝和后剪枝;模型树和回归树测试。-Python-based test regression trees, including the pre-pruning and pruning the model tree and regression tree test.
AR-model
- 时间序列分析是根据系统观测得到的时间序列数据,通过曲线拟合和参数估计来建立数学模型的理论和方法-auto regression model
RBF-network-return
- RBF网络回归源代码,利用RBF神经网络算法构建模型-RBF network source code regression, RBF neural network algorithm to build the model
Geographically-weighted
- 地理加权回归模型R语言代码,可用于空间统计计量经济模型-Geographically weighted regression model
Logistic
- 统计回归模型的MATLAB解决方案,主要是在数学应用中解决具体的统计回归模型问题。-MATLAB Solutions statistical regression model, mainly to solve specific problems in mathematical statistical regression model applications.
qungiesen
- matlab实现了五类灰色关联度模型的计算,可以实现模式识别领域的数据的分类及回归,利用最小二乘算法实现对三维平面的拟合。- matlab implements five gray correlation degree computing model, You can achieve data classification and regression pattern recognition, Least-squares algorithm to fit a three-dimensional
gvana
- 包括回归分析和概率统计,仿真图是速度、距离、幅度三维图像,matlab实现了五类灰色关联度模型的计算。- Including regression analysis and probability and statistics, FIG simulation speed, distance, amplitude three-dimensional image, matlab implements five gray correlation degree computing model.
1501
- 各种资源分配算法实现,数据模型归一化,模态振动,最小二乘回归分析算法。- Various resource allocation algorithm, Normalized data model, modal vibration, Least-squares regression analysis algorithm.
预处理.py
- 使用python对数据进行预处理后跑逻辑回归模型(Using Python to preprocess the data, run the logistic regression model.)