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Allergic asthma occurs as a consequence of inappropriate immunologic inflammation to allergens and characterized by Th2 adaptive immune response. Recent studies indicated that interleukin (IL)-25, a member of the IL-17 cytokine family, had been implicated in inducing Th2 cell-dependent inflammation in airway epithelium and IL-25-deficient mice exhibit impaired Th2 immunity responses; however, how...
Building low-carbon city is a global topic concerned by the glob in recent years. It is also a top priority in current urban planning. This paper makes comprehensive research and analysis on the low carbon urban construction and development. It puts forward a set of scientific and complete and quantitative evaluation index system for low carbon city to evaluate development level scientifically, find...
A method of Radial Basis Function(RBF)neural network algorithm based on Particle Swarm Optimization (PSO) algorithm is introduced. In the background of PJM electricity market in the USA, the short-term price is forecasted with the historical price and loads. After determining the number, the center and width of the hidden layer, code the weights of output layer to individual particles and optimize...
With the increasing use of e-commerce Web sites, it is gaining more and more attention. The evaluation of e-commerce Web sites becoming the focus of study. This paper design a comprehensive evaluation indicator system. Adopting principal component analysis method to simplify the indicator system. A evaluation model of customer relationship management system based on support vector machine was presented...
Accurate forecasting of daily electricity load has been one of the most important issues in the electricity industry. In recent few decades, the artificial neural network has been successfully employed to solve this problem because of the powerful capability to generalize the nonlinear relationships between the inputs and the desired outputs, without considering real problem domain expressions. A...
This paper introduced BP neural network and RBF network's basic theory, compared these two characteristics of the network structure, and applied to the resident consumer level forecasts. In RBF neural network forecasting, by changing the size of the distribution density of RBF, adjusted the forecast accuracy of the network. Compared the two neural network forecast results by MATLAB simulation. From...
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