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As a state-of-the-art ensemble method, random forest which exhibits a good ability to predict and generalize on various dataset is often composed of a large number of trees. Redundancy of ensemble and connotative decision rules result in expensive operational costs as well as difficulties in comprehension. In this paper, novel leaf node-level pruning methods for random forest are proposed. Each leaf...
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...
In this article, a new methodology is presented for identification of finite-impulse-response (FIR) models. The central idea is to use a series of stable models of first-order plus time delays (FOPTD) to approximate the dynamics of the process. A quantitative analysis of the modelling error is provided. Compared to the existing basis model approaches, the advantages of the proposed method lie in the...
As the most sustainable means of modern transportation, the railway trains are eagerly approaching autonomous driving due to their congenital advantages on operating environments compare to, e.g., road traffics. The intelligent automatic train driving aims at train control with a goal of energy efficiency, punctuality and safety. The derivation of an optimized train driving solution by taking advantage...
The equilibrium glide-based predictor-corrector reentry guidance algorithm has received increasing attention due to its good adaptiveness. However the big disturbance or insufficient accuracy of prediction could lead to large correcting bias, causing departure from equilibrium glide state and phugoid oscillation of reentry trajectory, which could induce large thermal and dynamic loads and are detrimental...
Stretchable electronics can not only maintain the functional integrity of traditional planar and rigid devices, but also deform along with the sophisticated three-dimensional surface. Typical applications can be found in healthcare, biomedical implants and wearable functional clothes. In these systems, their stretchablity can be realized by means of designing different curved metallic wires embed...
The decision maker's preference information is an important part in the process of conflict analysis. Under the influence of uncertainty factors existing in the actual conflict, the decision maker's preference ranking is not completely certain. Because the shortage that the existing uncertain preference ordering method is too rough, this paper examines a new measure of preference ranking based on...
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...
Weather is an important factor affecting short term electric load. This paper researches the comprehensive real-time weather factors and analyzes cumulative effect of weather factor; improved learning rate and activated function is adopted to speed up the learning rate for BP network; Short term electric load predictive model is established based on weather factor; experimental simulation were carried...
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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