Enhancing Effluent Quality Predictions in Wastewater Treatment with LSTM Neural Network

This research paper delves into the application of Long Short-Term Memory (LSTM) neural networks within the Benchmark Simulation Model No. 2 (BSM2) to enhance the predictability and efficiency of wastewater treatment processes. The study aims to develop advanced predictive models that can simulate t...

Celý popis

Podrobná bibliografia

Vydané v:	International Conference on System Theory, Control and Computing s. 83 - 88
Hlavní autori:	Voipan, Daniel, Vasiliev, Iulian, Diaconu, Larisa, Voipan, Andreea-Elena, Barbu, Marian
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 10.10.2024
Predmet:	Accuracy Adaptation models Artificial Neural Networks BSM2 Effluent Quality Effluents Long short term memory LSTM Predictive models Real-time systems Stochastic processes Time series analysis Wastewater Wastewater treatment Wastewater Treatment Plants
ISSN:	2473-5698
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!