EXPO 2026: "Machine Learning for Modeling in an Elementary Differential Equations Class"
Автор: SIMIODE
Загружено: 2026-03-04
Просмотров: 15
Описание:
Fri | 4:00 PM–4:30 PM ET
Nathan Albin, Andrew G. Bennett Abhinav Chand; Department of Mathematics, Kansas State University, Manhattan, KS USA
Abstract: Machine learning is becoming a more common tool in developing mathematical models. Our students should be introduced to the strengths and weaknesses of machine learning techniques in modeling real-world situations. We will discuss an assignment in a first course in differential equations where students model a spring-mass system and use machine learning to determine the appropriate damping term, including having them think about the advantages and disadvantages of this approach.
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