Next Generation Sequencing Analysis of Wastewater Treatment Plant Process via Support Vector Regression
IFAC-PapersOnLine(2019)
摘要
In this paper, we analyze next generation sequencing (NGS) data of wastewater treatment plant (WWTP) in the North Water facility for revealing the role of 1236 different genera of microorganisms in the aeration basin to the measured process data. Both the time-series data of NGS and process parameters are pre-processed and analyzed using support vector regression technique and is compared with the deep neural network approach. Local sensitivity analysis is performed on the resulting models. Both machine learning analyses show the importance of a subset of genera to the WWTP process and can be used to enrich the well-studied activated sludge model (ASM).
更多查看译文
关键词
Wastewater Treatment Plant,correlation analysis,process data,NGS data
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要