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This paper proposes a multi-agent decision model based on recurrent neural networks and particle swarm optimization technology. In this paper, the recurrent neural network is used for strategy decision controller. The inputs of the recurrent neural network are decided by the last strategies of other agents. Then the outputs determine the next strategy that the agent will choose. The weight values...
In order to reduce the size and improve the convergence of PSO (particle swarm optimization) algorithm, an improved PSO algorithm, called TPSO (two particles PSO) algorithm, is presented in this paper. The swarm is only composed of two particles in TPSO algorithm. The algorithm is guaranteed to converge to the global optimization solution with probability one. Its global search ability is enhanced...
This essay proposes a maximum variance between clusters method of image segmentation (OTSU) based on PSO. The method in this paper makes use of particle swarm algorithm and achieves a great acceleration to the traditional OTSU. On that basis, we also applied the parallelism technology in particle-swarm algorithm and find an optimal threshold, so we can segment images with this threshold. The result...
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