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Forecasting accuracy is an important issue for successful intelligent traffic management, especially in the domain of traffic efficiency and congestion reduction. The dawning of the big data era brings opportunities to greatly improve prediction accuracy. In this paper, we propose a novel model, stacked autoencoder Levenberg-Marquardt model, which is a type of deep architecture of neural network approach...
Latent variable (LV) models such as partial least squares (PLS) have been widely used to derive low-dimensional subspaces and build regression models in process control problems, especially in quality prediction tasks. However, they are based on the assumption that industrial processes operate at steady states, thereby ignoring process dynamics. In this article, slow feature regression (SFR), a novel...
A modified GM (1,2) model is proposed to simulate the runoff. Zhoukou and Tanghe station was taken as an example. The results show that the modified model was a means to better understand the significance of runoff variability upon climate change. The influence of the future climate change on hydrological processes was discussed. The runoff in this valley is projected on this basis according to the...
Operation temperature of a molten carbonate fuel cell stack should be controlled within a special range in order to improve availability and performance of fuel cells. In this paper, a predictive control algorithm based on the Takagi-Sugeno fuzzy model is developed for the temperature of a molten carbonate fuel cell stack. Based on the future outputs predicted by a Takagi-Sugeno fuzzy model, a discrete...
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