Cluster Computing

, Volume 22, Supplement 2, pp 4397–4403 | Cite as

Enhanced perceptual psychopathology correlation mechanism model based on rough set and neural network

  • Xiaobing YangEmail author
  • Hongyun Liu
  • Yongmei Peng


Aimed at sensibility—psychopathology problem, undergraduates are selected to be research object and a correlative mechanism model for rough set and neural network of reinforced sensibility—psychopathology is proposed. Firstly, five characteristics are taken as example to analyze common psychological illnesses of undergraduates. These five characteristics include: behavior, emotional state, diet and sleep, character trait and physical illness, and four common psychological illnesses of undergraduates are selected as training to construct BP neural network evaluation model; then, upper and lower approximation of rough set and boundary region theory are adopted for noise removal of noise sample, which can solve sample noise interference of BP network pattern recognition effectively and reduce error recognition rate of BP network significantly. Finally, performance advantage of algorithm is verified through simulation experiment.


Sensibility Psychopathology Rough set Neural network Correlative model 



Educational science plan of Hunan Province in 2014, Subject No.: XJK014BJD012.


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Hunan Traditional Chinese Medical CollegeZhuzhouChina

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