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- W2378045109 abstract "In order to obtain the optimum process condition parameters of anaerobic fermentation device,with the gas volume and quality parameters of fermentation engineering as response value,and establish the BP neural network model. At the same time,network model for global optimization by particle swarm optimization algorithm. Finally achieve the best anaerobic fermentation process parameters. This study shows that using BP neural network simulation with optimization of particle swarm algorithm has better optimization effect on anaerobic fermentation process,to provide the theory basis for the anaerobic fermentation process control." @default.
- W2378045109 created "2016-06-24" @default.
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- W2378045109 date "2015-01-01" @default.
- W2378045109 modified "2023-09-26" @default.
- W2378045109 title "BP Neural Network Modeling and Particle Swarm Algorithm Optimization of Anaerobic Fermentation Process" @default.
- W2378045109 hasPublicationYear "2015" @default.
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