Coupling between time series: A network view

Coupling between time series: a network view

Recently, the visibility graph has been introduced as a novel view for analyzing time series, which maps it to a complex network. In this paper, we introduce a new algorithm of visibility, ”cross-visibility”, which reveals the conjugation of two coupled time series. The correspondence between the two time series is mapped to a network, ”the cross-visibility graph”, to demonstrate the correlatio...

A Comparison Between Time Series, Exponential Smoothing, and Neural Network Methods To Forecast GDP of Iran

a comparison between time series, exponential smoothing, and neural network methods to forecast gdp of iran

Vehicle's velocity time series prediction using neural network

This paper presents the prediction of vehicle's velocity time series using neural networks. For this purpose, driving data is firstly collected in real world traffic conditions in the city of Tehran using advance vehicle location devices installed on private cars. A multi-layer perceptron network is then designed for driving time series forecasting. In addition, the results of this study are co...

a cross-comparative dtudy between two textbook series in terms of the presentation of politeness

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