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With the development of electricity market reformation in China, it is especially important to evaluate the competition competence of power generating enterprises. Based on the characteristics of their, this paper bring forwards an index system to evaluate the competition competence of power generating enterprises. SVMs are widely used in load forecasting and bioinformatics systems. Conventional methods...
According to the practical situation of risk assessment in power plants, a set of index system is established. The index system includes financial indexes and non-financial indexes. Then support vector machines (SVM) algorithm is used for assessment in this research. In this paper the step of improve SVM by artificial immune algorithm is given to show how to get the best effectiveness in SVM. In this...
This paper presents a hybrid pattern for Chinese Name Entity Recognition based on Maximum Entropy model. Firstly, Maximum Entropy model is an outstanding statistical model for its good integration of various constraints and its compatibility to Chinese Named Entity Recognition. Secondly, local features and global features are integrated in the hybrid model to get high performance. Thirdly, in order...
Using the characteristic of nonlinear function approach of CMAC neural network in cluster node, a novel model of comprehensive calibration, which aiming to improve the static state output characteristic of sensor nodes, was presented. Correction model of sensor nodes and comprehensive calibration model of cluster node were set up. The arithmetic is demonstrated, according to the simulation results,...
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