학과 세미나 및 콜로퀴엄

구분 학과 세미나/콜로퀴엄
분류 기타
제목 Data Driven Modeling of Unknown Systems with Deep Neural Networks
Abstract We present a framework of predictive modeling of unknown system from measurement data. The method is designed to discover/approximate the unknown evolution operator, i.e., flow map, behind the data. Deep neural network (DNN) is employed to construct such an approximation. Once an accurate DNN model for the evolution operator is constructed, it serves as a predictive model for the unknown system and enables us to conduct system analysis. We demonstrate that flow map learning (FML) approach is applicable for modeling a wide class of problems, including dynamical systems, systems with missing variables and hidden parameters, as well as partial differential equations (PDEs).
일시 2023-05-08 (Mon) / 10:00 ~ 11:00 ** 날짜에 유의하세요. **
장소 자연대 공동강의실 (E6) Rm 1501
강연언어 영어
강연자성명 Dongbin Xiu
강연자소속 The Ohio State University
강연자홈페이지
기타정보 KAI-X Distinguished Lecture Series
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