RELIABILITY PREDICTION OF DRYER BASED ON IMPROVED PSO＿BP NEURAL NETWORK (MT)

RELIABILITY PREDICTION OF DRYER BASED ON IMPROVED PSO＿BP NEURAL NETWORK (MT)

When the BP neural network model is used to predict the reliability of the grain dryer, the model has problems such as slow convergence speed and easy to fall into local optimum. An improved particle swarm algorithm is used to optimize the BP neural network model and establish the PSO＿BP neural netw...

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Bibliographic Details
Main Authors: WEN ChangJun, CHEN Zhe, SHAO MingYing, CHEN Li, XU Yun Fei
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2023-01-01
Series:Jixie qiangdu
Subjects:
Grain dryer
Particle swarm algorithm
BP neural network
Reliability prediction
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2023.02.035
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