The embedded ts() function creates a time series object out of the vector glarp$livingroom.

嵌入的ts()函数通过向量glarp$livingroom创建一个时间序列对象。

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Chaos and support vector machine theory has opened up a new route to study complicated and changeable non-linear hydrology time series.

混沌和支持向量机理论为研究复杂多变的非线性水文时间序列开辟了新的途径。

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The Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.

用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。

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The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.

大坝渗流监测分析是大坝安全监控的重要内容，预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。

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The Support Vector machine (SVM) is a new machine learning method based on the statistical learning theory and it is very useful to solve nonlinear problems of short time series.

支持向量机(SVM)方法是基于统计学理论的一种新的机器学习方法，对解决小样本条件下的非线性问题非常有效。

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The Support Vector machine (SVM) is a new machine learning method based on the statistical learning theory and it is very useful to solve nonlinear problems of short time series.

支持向量机(SVM)方法是基于统计学理论的一种新的机器学习方法，对解决小样本条件下的非线性问题非常有效。

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