According to the pressure-state-response model, building an evaluation index system, evaluating the level of economic security of 21 coal cities by back propagation (BP) neural network theory and means of MATLAB. The results show that the level of economic security of coal cities in China is not ideal and must be improved. The level of economic security shows regional differences.
Rough Set Theory is a mathematic tool which mainly deals with the uncertain knowledge. In this paper a new comprehensive evaluation model of low carbon economy based on rough set is formed. At last, the results of comprehensive evaluation of low carbon economy of 6 provinces based on this model are obtained which show this method is effective and feasible.
In order to conduct estimation of parameters in signal processing, using maximum likelihood estimate and the minimum mean square error estimate and maximum a posteriori probability in Bayes estimate . The experimental results show that: the maximum likelihood estimate accuracy, but search volume greatly; and Bias estimation to a certain extent, can improve the operation speed, but lower precision. So in the actual operation, select appropriate estimate methods based on the specific conditions.
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