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In this paper, we use particle swarm optimization with support vector machine optimized to evaluate the investment risk of electrical project. A hybrid intelligent system is applied to evaluation of electrical equipment, combining particle swarm optimize algorithm (PSO) and support vector machines (SVM). At first, we can make use of PSO obtaining appropriate parameters in order to improve the general...
A novel model was proposed for short-term electricity price forecasting based on rough set approach and improved support vector machines (SVM). Firstly, we can get reduced information table with no information loss by rough set approach. And then, this reduced information is used to develop classification rules and train SVM, at the same time, we make use of the particle swarm optimization to optimize...
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