Data-driven modelling based on artificial neural networks for predicting energy and effluent quality indices and wastewater treatment plant optimization

DOI10.1007/s11081-022-09724-5OpenAlexW4225402667MaRDI QIDQ2101679

Vasile Mircea Cristea, Melinda Simon-Várhelyi, Norbert-Botond Mihály

Publication date: 6 December 2022

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11081-022-09724-5

zbMATH Keywords

artificial neural networksperformance indices predictionplant performance optimization

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Inference from stochastic processes (62Mxx) Probabilistic methods, stochastic differential equations (65Cxx)

Cites Work

• A hybrid algorithm to optimize RBF network architecture and parameters for nonlinear time series prediction
• On the optimal Halton sequence
• Erratum: Mesh Adaptive Direct Search Algorithms for Constrained Optimization

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