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Crude oil plays a significant role in the modern society and its price prediction attracts more and more attentions, not only for its importance to the modern industry, but also for its complex price movement. Based on PMRS, ECM and NN, this paper presents an integrated model to forecast crude oil prices. In the proposed model, PMRS is first used to model the trend of crude oil price, and then ECM...
This paper studies the composite adaptive tracking control for a class of uncertain nonlinear systems in strict-feedback form. Dynamic surface control technique is incorporated into radial-basis-function neural networks (NNs)-based control framework to eliminate the problem of explosion of complexity. To avoid the analytic computation, the command filter is employed to produce the command signals...
At present, classic methods are often used to predict groundwater level, but the result is not ideal. Though GM(1,1) and neural network are applied in this field, some limits have been existed. In view of the difficulty to predict groundwater level, in this paper, a grey system-neural network united model is developed based on the grey theory and neural network method. It predicts various tendency...
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