A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Metamodeling and Machine Learning
A metamodel, or surrogate model, is a model of a model. Metamodeling refers to a process of generating such metamodels which is based on analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for modeling a predefined class of problems. On the other hand, machine learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. This chapter provides a review on different design of experiment techniques, as well as various machine learning algorithms.
Metamodeling and Machine Learning
A metamodel, or surrogate model, is a model of a model. Metamodeling refers to a process of generating such metamodels which is based on analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for modeling a predefined class of problems. On the other hand, machine learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. This chapter provides a review on different design of experiment techniques, as well as various machine learning algorithms.
Metamodeling and Machine Learning
Saouma, Victor E. (author) / Hariri-Ardebili, M. Amin (author)
Aging, Shaking, and Cracking of Infrastructures ; Chapter: 20 ; 485-515
2021-04-14
31 pages
Article/Chapter (Book)
Electronic Resource
English
Metamodel , Design of experiment , Factorial design , Taguchi design , Response surface method , Polynomial chaos expansion , Machine learning , Neural network , Support vector machine , Classification , Regression Engineering , Geoengineering, Foundations, Hydraulics , Numerical Analysis , Building Repair and Maintenance , Offshore Engineering , Applications of Nonlinear Dynamics and Chaos Theory
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