Gradient-based training and pruning of radial basis function networks with an application in materials physics
Year of publication
2021
Authors
Määttä, Jussi; Bazaliy, Viacheslav; Kimari, Jyri ; Djurabekova, Flyura; Nordlund, Kai; Roos, Teemu
Organizations and authors
University of Helsinki
Djurabekova Flyura
Määttä Jussi
Kimari Jyri
Nordlund Kai
Roos Teemu
Bazaliy Viacheslav
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Journal
Parent publication name
Volume
133
Pages
123-131
ISSN
Publication forum
Publication forum level
2
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Partially open publication channel
License of the publisher’s version
CC BY
Self-archived
Yes
License of the self-archived publication
CC BY
Other information
Fields of science
Computer and information sciences; Physical sciences
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Publication country
United Kingdom
Internationality of the publisher
International
Language
English
International co-publication
No
Co-publication with a company
No
DOI
10.1016/j.neunet.2020.10.002
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes