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1)  time series prediction model
时间序列预测模型
2)  multivariable time series forecasting model
多变量时间序列预测模型
1.
Result of forecast is contrasted with that of the multivariable time series forecasting model based on grey theory and common BP networks,and its simulated result shows that the multivariable time series forecasting model based on recurrent composite BP networks has strong study feature and generalization ability and can .
将其预测结果与灰色预测模型及常规BP网络的多变量时间序列预测模型的结果进行比较,其仿真实验结果表明该网络具有很强的学习特性和泛化能力,适合进行非线性时间序列建模及预测。
3)  time series prediction
时间序列预测
1.
Discounted least square RBF neural networks with applications in time series prediction;
打折最小平方RBF网络及其时间序列预测研究
2.
Traffic flow time series prediction based on LS-SVM;
基于LS-SVM的交通流量时间序列预测
3.
SSVR algorithm and time series prediction of furnace combustion state;
SSVR算法及炉膛燃烧状态时间序列预测
4)  time series forecasting
时间序列预测
1.
Integrating kernel principal component analysis with least squares support vector machines for time series forecasting problems;
基于核主成分分析与最小二乘支持向量机结合处理时间序列预测问题
2.
Application of Time Series Forecasting on Hospital Drug Purchase;
时间序列预测方法在医院药品采购的应用
3.
Redundant Haar wavelet transform and time series forecasting based on improved lifting scheme;
基于提升方案的冗余Haar小波变换与时间序列预测
5)  Time series forecast
时间序列预测
1.
The Application of Improved SVR In Financial Time Series Forecast;
改进SVR在金融时间序列预测中的应用
6)  time series model
时间序列模型
1.
Association rules mining in stock time series model;
股票时间序列模型的关联规则挖掘
2.
The establishment and analysis of the time series model of Guangxi s GDP;
广西GDP的时间序列模型的建立与实证分析
3.
General expression for linear and nonlinear time series model and its engineering application;
线性/非线性时间序列模型一般表达式及其工程应用
补充资料:时间

实际上,时间单位首先从天文观测来确定的,“1平太阳日或1天(1昼夜)”是以地球相对于太阳的自转周期为基准来计量的,一个平太阳日的1/86400为1秒;后来发现地球自转不均匀,1960年国际度量衡大会把时间基准改为以地球绕太阳公转周期,即规定为1900年地球公转周期(回归年)的1/31556925.9747为1秒;随着精确、稳定的原子钟制成,1967年国际度量衡大会规定国际单位制原子时的时间单位“秒(长)是两个超精细能级之间跃进所对应辐射9192631770个周期的持续时间”。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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