journal article·2019Open access

Forecasting Damage Mechanics by Deep Learning

Duyen Le Hien Nguyen, Dieu Thi Thanh Do, Jaehong Lee, Timon Rabczuk, Hung Nguyen-Xuan

Computers, Materials & Continua· Volume 61· Issue 3

Abstract

We in this paper exploit time series algorithm based deep learning in forecasting damage mechanics problems. The methodologies that are able to work accurately for less computational and resolving attempts are a significant d... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Neural Networks and Applications · Time Series Analysis and Forecasting · Anomaly Detection Techniques and Applications

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