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Using particle swarm optimization (PSO) to perform financial characteristic study for enterprises in Taiwan
2011
African Journal of Business Management
Since Particle Swarm Optimization (PSO) has properties such as: fast convergence, the ability to search global optimum and very strong universal characteritistic, it is thus very suitable to be used in clustering analysis and parameter utilization of optimized neural network by the researchers. Therefore, in this article, it is used to applied in analyzing enterprise's Financial Characteristic. First, in this article, based on the profit force and growth force of financial five forces, the
doi:10.5897/ajbm11.1183
fatcat:t4nbbkivqbeovbyuwbd3uxgmza