Activated Sludge Treatment using Artificial Neural Networks

1. Introduction

Traditional analytical treatments of activated sludge treatment rest on simplifying assumptions that the present study seeks to relax. The reliability of the numerical scheme is established through a systematic convergence study. A reduction of nearly 8% in material consumption was achieved without any loss of safety. The results should help engineers make better-informed decisions under conditions of uncertainty.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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