Predicting Microbial Fuel Cell Biofilm Communities and Bioreactor Performance using Artificial Neural Networks.

@article{Lesnik2017PredictingMF,
  title={Predicting Microbial Fuel Cell Biofilm Communities and Bioreactor Performance using Artificial Neural Networks.},
  author={Keaton Larson Lesnik and Hong Liu},
  journal={Environmental science & technology},
  year={2017},
  volume={51 18},
  pages={10881-10892}
}
The complex interactions that occur in mixed-species bioelectrochemical reactors, like microbial fuel cells (MFCs), make accurate predictions of performance outcomes under untested conditions difficult. While direct correlations between any individual waste stream characteristic or microbial community structure and reactor performance have not been able to be directly established, the increase in sequencing data and readily available computational power enables the development of alternate… CONTINUE READING

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