Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 63-66.doi: 10.11896/j.issn.1002-137X.2016.11A.014

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Optimized Approach on Stomach Nourishing Decision Based on PSO-BP Neural Network

ZHANG Lu and LEI Xue-mei   

  • Online:2018-12-01 Published:2018-12-01

Abstract: The conventional BP neural network has the problems of slow convergence and multi-local extreme value.An optimized approach on stomach nourishing decision based on PSO-BP neural network was proposed.The robust sear-ching ability of particle swarm optimization enables the weight and threshold of BP neural network to optimize.By the error curve and linear regression,we compared PSO-BP and BP method.The results show that the proposed approach can get a more accurate decision on stomach nourishing and provide better guidance on food selection.

Key words: PSO-BP neural network,Particle swarm optimization,Stomach nourishing recipe

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