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With the rapid growth of global population and the change of human living habits, the treatment of municipal wastewater is facing serious challenges. To solve the problems of high energy consumption, big amount of greenhouse gases emission, and huge volume of waste sludge production of the current process, a series of innovations and developments based on anaerobic process are being focused on. However, the processes generally require long experimental cycles because of the biodegradation reaction. If the microbial degradation in anaerobic process is modelled, the experimental period will be drastically reduced, but the traditional modeling methods are less generalizable and thus difficult to be applied. In recent years, artificial intelligence tools have been applied to dealing with complicated situations. This led our research team to the idea of using machine learning approach to model and predict …