Graduate enrollment prediction by an Error Back Propagation algorithm based on the Multi-Experiential Particle Swarm Optimization

Abstract

The graduate enrollment is influenced by the current national policy, the social needs, and the social economic status and so on. The change of the enrollment number shows the nonlinearity and the complexity. In order to have better grasp of the enrollment scale and to realize the rational allocation of educational resources, we propose a Multi-Experiential… (More)
DOI: 10.1109/ICNC.2015.7378155

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