- 综合性科技类中文核心期刊
- 中国科技论文统计源期刊
- 中国科学引文数据库来源期刊
- 中国学术期刊文摘数据库（核心版）来源期刊
- 中国学术期刊综合评价数据库来源期刊
| Citation: |
HE Zheng, ZHAO Nan, LI Jie, CHEN Hanghang, FU Wei, GU Jian, HAN Honggui, LIU Zheng. Decision-making for Membrane Fouling Based on Knowledge Fuzzy Transfer in Municipal Wastewater Treatment[J]. Journal of Beijing University of Technology, 2024, 50(3): 299-306. DOI: 10.11936/bjutxb2022040003
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A decision-making method, based on a knowledge fuzzy transfer, was proposed to solve the problem of membrane fouling in wastewater treatment process. First, based on the data and experience collected from a real wastewater treatment process, the knowledge of membrane fouling decision-making was expressed in the form of fuzzy rules. Second, a knowledge reconstruction mechanism (KRM) was proposed to complete the knowledge reconstruction by balancing the matching accuracy and diversity between the source domain and the target domain with knowledge transfer method. Finally, a decision-making model based on data-knowledge-driven interval type-2 fuzzy neural network (DK-IT2FNN) was developed, the model parameters were designed by using fuzzy rules, and the transfer gradient descent algorithm was proposed to adjust the model weight. The decision-making accuracy has been improved. Results show that the proposed method can realize the decision of membrane fouling with high accuracy.
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