Hu Zhiqiang

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PM2.5 is difficult to accurately forecast due to the influence of multiple meteorological and pollutant variables in the complex nonlinear dynamic atmosphere system. In this paper, an Elman neural network prediction method based on chaos theory is put forward for the problem. Firstly, the chaotic characteristics of the concentration of the PM2.5 are(More)
Method: The nonlinearity and non-smooth properties result in that the convergent solutions can't be obtained by the widely used trial-error iteration method. Mathematical Programming which has good convergence properties and rigorous mathematical foundation is an effective alternative solution method, in which, the frictional contact conditions can be(More)
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