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This note discusses the controllability problems of complex networks. It is shown that almost any weighted complex network is controllable in the sense of exact controllability if only with noises on the arc weights; and the requisite quantity of independent input signals is always 1.
This paper proposed a new hybrid forecasting model for the prediction of ozone concentrations in semi-arid area. It is based on chaotic, particle swarm optimization algorithm (CPSO) and back propagation (BP) neural network, called CPSO-BP neural network. The results show that the proposed hybrid model is superior to both the BP neural network and the regression model being tested. The hybrid model...
KIII model is an olfactory neural networks bionic model proposed by Walter J. Freeman. Its architecture simulates that of olfactory neural system, which is different from other artificial neural networks. Through simplifying KIII model, a color texture generating algorithm is proposed combining with RGB. In RGB space, the tricolor of each pixel (red, green and blue) is used as the model input and...
In the competition paradigm of the electric power markets, both power producers and consumers need some price prediction tools in order to plan their bidding strategies. This paper studies the problem of modeling market clearing price forecasting in deregulated markets. And electricity price forecasting with support vector machines based on artificial fish swarm algorithm is provided. Except considering...
Grid computing is an active field in high-availability computing. This paper focuses on the numerical calculation of two-dimensional frequency selective surface using the finite difference time domain (FDTD) method on grid-enabled cluster. The result of experiment shows that the evaluation via the parallel FDTD is in good agreement with the result obtained via the traditional FDTD method. The parallel...
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