Prediction of N-acetylglucosamine Content Based on RF-GA-BP Neural Network

Authors

Wenfeng Yang, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Wang Yan, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Zhichen Ji, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

Abstract

Abstract: In order to solve the problem that the content of N-acetylglucosamine (GlcNAc) in the process of preparing glucocosamine (GlcN) by microbial fermentation is difficult to measure online, an improved prediction algorithm based on stochastic forest algorithm, genetic algorithm and neural network algorithm is proposed. The algorithm utilizes the feature of decreasing average impurity in random forest algorithm to analyze the relevance of the input characteristics. The initial weights and thresholds of the neural networks are optimized by the genetic algorithm. A prediction model based on the RF-GA-BP algorithm is established based on the data from the fermentation process of an ammonia sugar production enterprise. The results show that the model has a good prediction ability for the content of GlcNAc. The prediction model has a fast convergence rate and a high accuracy. The average error is less than 7%, which is better than the GA-BP model and the traditional BP model.

Recommended Citation

Yang, Wenfeng; Yan, Wang; and Ji, Zhichen (2020) "Prediction of N-acetylglucosamine Content Based on RF-GA-BP Neural Network," Journal of System Simulation: Vol. 32: Iss. 10, Article 21.
DOI: 10.16182/j.issn1004731x.joss.20-FZ0335
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss10/21

First Page

2034

Revised Date

2020-06-10

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-FZ0335

Last Page

2040

CLC

TP398.1

Recommended Citation

Yang Wenfeng, Wang Yan, Ji Zhichen. Prediction of N-acetylglucosamine Content Based on RF-GA-BP Neural Network[J]. Journal of System Simulation, 2020, 32(10): 2034-2040.

DOI

10.16182/j.issn1004731x.joss.20-FZ0335