Research data supporting the publication "The duality between particle methods and artificial neural networks"

Alexiadis, Alessio (2020) Research data supporting the publication "The duality between particle methods and artificial neural networks".

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Dataset Details

Data creator(s):	Creators Email ORCID Alexiadis, Alessio A.Alexiadis@bham.ac.uk UNSPECIFIED
Research Data Type:	Software
DOI:	https://doi.org/10.25500/edata.bham.00000541
Publisher:	University of Birmingham
Funder:	Engineering and Physical Sciences Research Council
Managing organisational unit:	Colleges (2008 onwards) > College of Engineering & Physical Sciences
UoB School, Department or Institute:	Chemical Engineering
Date:	24 August 2020

Additional Details

Additional Details

Project/Grant:	EP/S019227/1
Depositing User:	Alessio Alexiadis
Date Deposited:	24 Aug 2020 15:42
Last Modified:	17 Apr 2024 11:03

Available Files

Data

CODE.tar.gz CODE.tar.gz CODE.tar.gz Access option: Open File: CODE.tar.gz Content type: Data Metadata Revision: 2 Mime-Type: application/x-gzip Licence: File size: 910kB File checksum: c89b0098ecfcf55d4ada5c849064c2bc

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Related Resources

The duality bet ... neural networks The duality bet ... neural networks The duality bet ... neural networks Resource Title: The duality between particle methods and artificial neural networks Resource Type: Publication URL: https://doi.org/10.1038/s41598-020-73329-0

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