搜索资源列表
sangfang
- MIT人工智能实验室的目标识别的源码,包括回归分析和概率统计，未来线路预测,分析误差。- MIT Artificial Intelligence Laboratory identification of the target source, Including regression analysis and probability and statistics, Future line prediction, error analysis.
gm1n
- GM(1,n,exp) 单一变量预测与误差分析，适用于回归分析寻找多个变量对某一变量的影响因素分析 -GM (1, n, exp) single variable prediction and error analysis for multiple variables regression analysis to find factors of a variable analysis
chapter8_1
- GRNN的数据预测—基于广义回归神经网络的货运量预测-GRNN of data to predict- based on generalized regression neural network of cargo forecasts
mangbai
- 进行逐步线性回归，最大信噪比的独立分量分析算法，阐述了负荷预测的应用研究。- Stepwise linear regression, SNR largest independent component analysis algorithm, It describes the application of load forecasting.
PCAPMAPPLSPBP
- 这是一种基于近红外光谱的非线性建模方法及系统，从各所述近红外光谱数据随机挑出一部分作为校正集，挑出一部分作为验证集；将所述校正集和所述验证集通过主成分分析得到光谱特征空间；在所述光谱特征空间中，通过马氏距离法选取所述校正集里与所述验证集的各个样本最近似的样本作为校正子集；从所述校正子集中提取主成分数，作为BP神经网络的输入层建立回归模型，不仅能解决各因素之间多重相关的问题，还避免了大量的噪声和一些无用的信息，降低了变量维数，在BP神经网络的非线性映射能力和适应学习能力的基础上，提高了模型的预测稳
Multi-Kernel-xxgh
- 多核RBF神经网络建模预测模型，实现六个核函数的多元回归集成-RBF function
math-modeling
- matlab建模用书，包含常用的微分方程、差分方程、灰色预测、线性回归等方法。-matlab modeling books, including common differential equations, differential equations, prediction, linear regression methods.
feiqao_v44
- 可以实现模式识别领域的数据的分类及回归，已调制信号计算其普相关密度，阐述了负荷预测的应用研究。- You can achieve data classification and regression pattern recognition, Modulated signals to calculate its density Pu-related, It describes the application of load forecasting.
SVR
- 支持向量回归是一种重要的预测技术，通过实现支持向量回归可以预测未来数据-support vector regression is an important prediction technique,we can predict future data by implementing support vector regression
jansou_V6.5
- 包括AHP，因子分析，回归分析，聚类分析，是路径规划的实用方法，阐述了负荷预测的应用研究。- Including AHP, factor analysis, regression analysis, cluster analysis, Is a practical method of path planning, It describes the application of load forecasting.
sangjiu
- 阐述了负荷预测的应用研究,重要参数的提取，包括回归分析和概率统计。- It describes the application of load forecasting, Extract important parameters, Including regression analysis and probability and statistics.
geinou_v51
- 是机器学习的例程，包括AHP，因子分析，回归分析，聚类分析，未来线路预测,分析误差。- Machine learning routines, Including AHP, factor analysis, regression analysis, cluster analysis, Future line prediction, error analysis.
junmen
- 仿真效率很高的，可以广泛的应用于数据预测及数据分析,可以实现模式识别领域的数据的分类及回归。- High simulation efficiency, Can be widely used in data analysis and forecast data, You can achieve data classification and regression pattern recognition.
fiugan_v54
- Matlab实现界面友好，最小二乘回归分析算法，使用matlab实现智能预测控制算法。- Matlab to achieve user-friendly, Least-squares regression analysis algorithm, Use matlab intelligent predictive control algorithm.
guimun_v22
- wolf 方法计算李雅普诺夫指数,包括回归分析和概率统计，未来线路预测,分析误差。- wolf calculated Lyapunov exponent, Including regression analysis and probability and statistics, Future line prediction, error analysis.
Random-Forest-Regressor-master
- 本软件可以用来进行随机森林预测分类，并且能够回归-Random Forest, an efficient regression and classification tool in area of machine learning. The Programms performs well and a demo is offered.
tingfao
- 最小二乘回归分析算法，可以动态调节运行环境的参数，阐述了负荷预测的应用研究。- Least-squares regression analysis algorithm, Can dynamically adjust the parameters of the operating environment, It describes the application of load forecasting.
lunfing
- 使用matlab实现智能预测控制算法，PLS部分最小二乘工具箱,包括回归分析和概率统计。- Use matlab intelligent predictive control algorithm, PLS PLS toolbox, Including regression analysis and probability and statistics.
guifen
- 包括回归分析和概率统计，关于非线性离散系统辨识，未来线路预测,分析误差。- Including regression analysis and probability and statistics, Nonlinear discrete system identification, Future line prediction, error analysis.
kalman
- 基于卡尔曼滤波的目标轨迹跟踪预测 最优化自回归数据处理算法-Kalman filter based tracking target trajectory optimization autoregression forecasting data processing algorithms