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This paper studies the demand of office building in Shanghai. It defines the demand as the nonlinear function combined with six parameters, including resident population of city, amount of investment on office building construction, the GDP, the rent index of office building, Per capita disposable income and vacancy rate of office buildings. Then, this article uses Logistic Forecasting and Artificial...
Based on the actual urban residential water demand of Xi'an, the Radial Basis Function (RBF) artificial neural network was used to forecast the urban residential water demand. RBF artificial neural network model was employed based on two input variables of population and Gross Domestic Product (GDP), one output variable of urban residential water demand. The performances in RBF forecasting of different...
The event related potentials (ERPs) is an electrical change recorded from the brain in relation to an event that occurs either in the external world or within the brain itself. Here we are to design a system capable of learning a particular mapping between ERPs and different mental tasks is of great significance. ERPs is traditionally extracted by averaging. The paper proposed a new ERP extraction...
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