Prediction of Wastewater Treatment Plant Effluent Water Quality Using Recurrent Neural Network (RNN) Models

Artificial Intelligence (AI) has recently emerged as a powerful tool with versatile applications spanning various domains. AI replicates human intelligence processes through machinery and computer systems, finding utility in expert systems, image and speech recognition, machine vision, and natural l...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Water (Basel) 2023-10, Vol.15 (19), p.3325
Hauptverfasser:	Wongburi, Praewa, Park, Jae K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Big Data Computational linguistics computer vision computers Data analysis Data collection Data integrity Data mining Datasets Deep learning Effluents Environmental science Genetic algorithms humans Language processing Machine learning Machine vision memory Natural language interfaces Neural networks prediction Purification Sewage Sewer systems Simulation speech Technology application time series analysis wastewater treatment water Water quality Water treatment Water treatment plants
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!