University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

QML-AiNet : an immune network approach to learning qualitative differential equation models

Simple item page
dc.contributor.authorPang, Wei
dc.contributor.authorCoghill, George M
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2014-12-09T10:03:01Z
dc.date.available2014-12-09T10:03:01Z
dc.date.issued2015-02
dc.descriptionAcknowledgements WP and GMC are supported by the CRISP project (Combinatorial Responses in Stress Pathways) funded by the BBSRC (award reference: BB/F00513X/1) under the Systems Approaches to Biological Research (SABR) Initiative.en
dc.description.statusPeer revieweden
dc.format.extent10
dc.format.extent1521151
dc.identifier43926660
dc.identifier2a1c6a70-50e5-4fdf-b38c-9332c9e4c764
dc.identifier84912553137
dc.identifier.citationPang, W & Coghill, G M 2015, 'QML-AiNet : an immune network approach to learning qualitative differential equation models', Applied Soft Computing, vol. 27, pp. 148-157. https://doi.org/10.1016/j.asoc.2014.11.008en
dc.identifier.doi10.1016/j.asoc.2014.11.008
dc.identifier.issn1568-4946
dc.identifier.otherORCID: /0000-0002-1761-6659/work/59923321
dc.identifier.otherORCID: /0000-0002-2047-8277/work/63561573
dc.identifier.urihttp://hdl.handle.net/2164/4091
dc.identifier.vol27en
dc.language.isoeng
dc.relation.ispartofApplied Soft Computingen
dc.subjectqualitative model learningen
dc.subjectartificial immune systemsen
dc.subjectimmune network approachen
dc.subjectcompartmental modelsen
dc.subjectqualitative reasoningen
dc.subjectqualitative differential equationen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectBiotechnology and Biological Sciences Research Council (BBSRC)en
dc.subjectBB/F00513X/1en
dc.subject.lccQA75en
dc.titleQML-AiNet : an immune network approach to learning qualitative differential equation modelsen
dc.typeJournal articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
QML.pdf
Size:
1.45 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
8.29 KB
Format:
Plain Text
Description:
Download

Collections

All research
Computing Science research
University Office research