基于T-S模糊神经网络的水体污染物生物修复质量评估研究

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文章编号：1674-6139（2026)01-0184-05

中图分类号：X52文献标志码：B

Biological Remediation Quality Assessment of Water Pollutants Based on T-S Fuzzy Neural Network

Li Beitao,Liu Jing，Qin Yang

(BeijingJingweiEnvironmental TechnologyCo.，Ltd.，Beijing1O132O,China）

Abstract:Inaterpolltantrmediationnteractionsamongmcrorgansmscomplicateualitysessmentofbologicalmedia tion.Tus,aualtworksdmethodisroosdltatctioodesityndateraspaee senasindicatorsAfterseetingthedyrea，dataisoleddinputintothodelfortraining，ieldingacompreesse mentofbiologicalmdiatioualityExperimentalsultsidicatgificantductiosinoalpospousndrogenluantsot -remediationEfectsvaryegioallyutarecosistentRemedationqualityimprovsoveti,metingpolutionontroleets by day 110.

Keywords:T-S fuzzy neural network；water pollutant；bioremediation；polltants reduction；biodiversity

前言

水体污染物生物修复技术利用生物代谢降解有害物质,恢复水质与生态健康[1-2]。（剩余6735字）