Back to search

Article

Bidirectional Dynamic Neural Networks with Physical Analyzability

2022-11-22

Abstract excerpt

<title>Abstract</title> <p>The rapid growth in research exploiting deep learning to predict mechanical systems has revealed a new route for system identification; however, the analytic model as a white box has not been replaced in applications because of its open physical information. In contrast, the models generated by end-to-end learning usually lack the ability of physical analysis, which makes them inapplica...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ca5a16e4-63b6-5a81-8f95-92887d180053
DOI
10.21203/rs.3.rs-2265602/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Bidirectional Dynamic Neural Networks with Physical AnalyzabilityDOI 10.21203/rs.3.rs-2265602/v1
Select a neighboring publication to make it the new centre.