The two big families of models: Mechanistic vs. Data-driven
Автор: AM-Team
Загружено: 2025-02-14
Просмотров: 136
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When we talk about digital twins and AI in water treatment, we often hear about machine learning and data-driven models. But did you know there’s another major approach? Mechanistic models—based on physics, chemistry, and biology—have been shaping digital water solutions for decades.
In this video, we explore:
🔹 What are mechanistic models, and how do they work?
🔹 How do data-driven models learn from large datasets?
🔹 What are hybrid models, and why are they the future?
🔹 Which model is best for water and wastewater treatment?
By understanding the strengths and weaknesses of both approaches, we can use digital twins more effectively in real-world water management.
This snippet is part of our full webinar: "Digital Twins at the Water Treatment Side: From Hype to Value."
Watch now to see how these models power digital transformation in water treatment!
Learn more at https://am-team.com
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