Symbolic expression generation via variational auto-encoder
Symbolic expression generation via variational auto-encoder
About this item
Full title
Author / Creator
Publisher
United States: PeerJ. Ltd
Journal title
Language
English
Formats
Publication information
Publisher
United States: PeerJ. Ltd
Subjects
More information
Scope and Contents
Contents
There are many problems in physics, biology, and other natural sciences in which symbolic regression can provide valuable insights and discover new laws of nature. Widespread deep neural networks do not provide interpretable solutions. Meanwhile, symbolic expressions give us a clear relation between observations and the target variable. However, at...
Alternative Titles
Full title
Symbolic expression generation via variational auto-encoder
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_51faf45d794541d186fcbec567cc31ec
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_51faf45d794541d186fcbec567cc31ec
Other Identifiers
ISSN
2376-5992
E-ISSN
2376-5992
DOI
10.7717/peerj-cs.1241
