An Oil-water Layer Recognition System Based on Composition Intelligence Computation
Huanglin Zeng, Juan Li · 2007
In this paper, a composition intelligence computing method is suggested for an oil-water layer recognition system.The redundant condition attributes are reduced based on rough set attribute simplification algorithm an oil-water layer neural network recognition system can be simplified in order to improve network training speed.A local minimum problem of optimization computation of neural network is improved by a composition GA BP learning algorithm.Simulation result shows that the effect in oil-water layer recognition is improved by the composition intelligence computing method proposed here.