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In this paper an improved particle swarm algorithm is presented firstly and then a hybrid method combining genetic algorithm(GA) and particle swarm optimization(PSO) is proposed. This hybrid technique incorporates concepts from GA and PSO and creates individuals in a new generation not only by crossover and mutation operations as found in GA but also by(More)
With greater generalization performance support vector machine (SVM) is a new machine learning method. Rough set theory is a new powerful tool h dealing with vagueness and uncertainty information. By combining the advantages of two approaches, an original attribute reduction method is proposed in the paper. Moreover, it is applied into oil-gas prediction to(More)
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