Numerical Framework for Data Driven Predictive Modeling of Complex Systems
Abstract
The emergence of modern machine learning (ML) techniques has offered the potential to radically improve our scientific research. It is now possible to employ deep learning methods, particularly deep neural network (DNN), to enable more informed predictions and decision making. This project serves as one effort to spearhead in this direction, with a particular focus on modeling of complex systems where no reliable mathematical models are available. The major objective of the proposed project is to develop a mathematical and numerical framework for data driven predictive modeling of complex systems using modern deep learning methods.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 21, 2022
- Source ID
- FA95502210011XX0
Entities
People
- Dongbin Xiu
Organizations
- Air Force Office of Scientific Research
- Ohio State University
- United States Air Force