1.
Stock Liquidity and Asset Pricing: Empirical Analysis from the Perspective of Time-Series Regression;
股票流动性与资产定价:基于时间序列回归的实证分析
2.
Regulation Regression Methods and Its Application in Chaotic Time Series;
正则化回归方法及其在混沌时间序列中的应用
3.
Nu-Support Vector Regression Time Series Prediction based on Grid Service
基于网格服务的Nu-支持向量回归时间序列预测
4.
Application of ε-SVR on Time Series Prediction;
ε-支持向量回归在时间序列型数据预测上的应用
5.
Decomposition Theorems of Design Matrices for General Autoregressive Models with Applications to Time Series Analysis;
广义自回归模型设计矩阵的分解定理及其在时间序列上的应用
6.
Chaotic Time Predicting ON GENETIC IMMUNE SUPPORT VECTOR MACHIMES;
免疫遗传优化支持向量机回归在混沌时间序列预测上的应用
7.
A New Kind of Time Serial Characteristic Index:SLC(Simple Linear Regression Coefficient);
一种新的时间序列特征指标:简单线性回归系数SLC
8.
Research on Time Series Based on Support Vector Regression Model for Deformation Observation
基于时间序列支持向量回归模型的变形监测研究
9.
Estimating Time Series Leaf Area Index Based on Recurrent Neural Networks
基于自回归神经网络的时间序列叶面积指数估算
10.
Research on the Prediction of the Chaotic Time Series Based on Lease Square Support Vector Machine
基于最小二乘支持向量回归的混沌时间序列预测研究
11.
Experiments on nonlinear time series prediction with least square support vector regression machine
最小二乘回归支持向量机对非线性时间序列预测的试验分析
12.
In practice, we can dispart hereinafter class: classification, clustering, regression, sequence, etc.
在实际应用中,往往根据模式的实际作用细分为以下几种:分类、聚类、回归、序列、时间序列等。
13.
A New Data Reduction Method for Time Series Classification
适用于时间序列分类的数据归约方法
14.
In this paper, the Multivariate Autoregressive Model( MARM) in time series is applied to set up the movement state of naval vessel.
可从时域的角度,采用时间序列中多维自回归模型实现对舰船运动姿态的辨识。
15.
Spatiotemporal chaotic time series modeling using normalized RBF network and its application
归一化RBF网络的时空混沌时间序列建模与应用
16.
The Application of Regularized Least-Squares Regression to Time Series Model Based on Statistical Learning Theory;
基于统计学习理论的正则化最小二乘回归在时间序列建模和预测中的应用
17.
Predicting Stock Index Time Series Based on Nonlinear Dynamics and Asymmetrical Support Vector Regression;
基于非线性动力学和边界不对称型支持向量回归机的股指时间序列的预测和研究
18.
Returns the serial number of the current date and time.\0
返回当前日期和时间的序列号。\0