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What is AI Control of Membrane Fouling about?
This document provides a critical review of artificial intelligence and machine learning techniques for controlling membrane fouling in filtration systems. It finds that artificial neural networks, fuzzy logic, genetic programming, and model trees have all been successfully used to model membrane fouling. Optimization methods like genetic algorithms and particle swarm optimization have also been applied to optimize parameters related to fouling. The review concludes that hybrid intelligent models utilizing
- Author
- madadi morad
- Language
- EN