Messaoud Djeddou

Prediction of failure rate by artificial neural networks

in a wastewater treatment plant

• Broschiertes Buch

Produktbeschreibung

The performance of treatment processes is generally influenced by many factors such as qualitative and quantitative changes in the wastewater and the inherent variability of the treatment process. Algerian legislation has established quality criteria for treated and discharged water, so it should be possible to assess process performance and plant reliability to ensure compliance.Predicting the behavior of complex systems has been a vast field of application for artificial neural networks. Applications such as economic forecasting, power load/demand forecasting, and forecasting of natural and physical phenomena have been widely studied, hence the numerous papers presented at annual conferences in this field of work. The cognitive capacity of artificial neural networks for mapping complex input-output and non-linear relationships, which would allow for better process forecasting and control, make them particularly attractive.

Produktdetails

• Verlag: Our Knowledge Publishing
• Seitenzahl: 196
• Erscheinungstermin: 24. Mai 2022
• Englisch
• Abmessung: 220mm x 150mm x 12mm
• Gewicht: 310g
• ISBN-13: 9786204792699
• ISBN-10: 6204792695
• Artikelnr.: 64090074

Autorenporträt

Messaoud Djeddou promovierte. an der Universität Mohamed Khider in Biskra, Algerien, im Jahr 2014. Derzeit ist er Assistenzprofessor an der Universität Larbi Ben M'Hidi in Oum El-Bouaghi. Seine derzeitigen Forschungsinteressen gelten der Anwendung von KI in den Hydraulikwissenschaften sowie der Wasser- und Umwelttechnik.