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Passenger traffic forecast is significant for the study of the change of passenger transport capacity. Forecasting passenger traffic scientifically is very important for decision-making of transportation development strategies. This paper analyzes the factors of passenger traffic, and describes the principle of the grey-Markov chain. Then we divide these factors into two categories: supply factors...
Based on radial basis function (RBF) kernel, a new self-adaptive method to optimize the least squares support vector machines (LS-SVM) parameters, the width of kernel parameter sigma and the LS-SVM regularization parameter gamma are proposed. Detailed methodology steps of this algorithm method are presented. Compared with back propagation neural networks (BPNN), various simulation experiments for...
Campus networkpsilas Internet accessing traffic is complicated, non-linear and periodical. Our goal is to give out a engineering approach to prediction of network traffic based time-series analysis model (EPTS) for campus exit-link. In our EPTS with rate-limiting, we configure rate limit based interface, then use time-series decomposed model, give out the linear trend component, periodical component,...
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