Neural Network Training Using a Biogeography-Based Learning Strategy Mousavirad, SJ, Jalali, SMJ, Ahmadian, S, Khosravi, Abbas, Schaefer, G and Nahavandi, Saeid 2020, Neural Network Training Using a Biogeography-Based Learning Strategy, in ICONIP 2020: Proceedings Part V, on the 27th International Conference on Neural Information Processing, Springer, Berlin, Germany, pp. 147-155, doi: 10.1007/978-3-030-63823-8_18. Title Neural Network Training Using a Biogeography-Based Learning Strategy Author(s) Mousavirad, SJ Jalali, SMJ Ahmadian, S Khosravi, Abbas orcid.org/0000-0001-6927-0744 Schaefer, G Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name ICONIP Neural Information Processing. International Conference (27th: 2020: Bangkok, Thailand) Conference location Bangkok, Thailand Conference dates 2020/11/18 - 2020/11/22 Title of proceedings ICONIP 2020: Proceedings Part V, on the 27th International Conference on Neural Information Processing Editor(s) Yang, H Pasupa, K Leung, AC-S Kwok, JT Chan, JH King, I Publication date 2020 Series Communications in Computer and Information Science Start page 147 End page 155 Total pages 9 Publisher Springer Place of publication Berlin, Germany Keyword(s) Neural network training Optimisation Particle swarm optimisation Biogeography-based optimisation Training ISBN 9783030638221 ISSN 1865-0929 1865-0937 Language eng DOI 10.1007/978-3-030-63823-8_18 HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30146996 Document type: Conference Paper Collection: Institute for Intelligent Systems Research and Innovation (IISRI) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 13 Jan 2021, 10:41:00 EST Wed, 13 Jan 2021, 13:13:53 EST Thu, 07 Jul 2022, 15:35:28 EST Mon, 18 Jul 2022, 08:48:18 EST Mon, 18 Jul 2022, 12:45:04 EST Mon, 18 Jul 2022, 14:36:08 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 15 times in Scopus Search Google Scholar Access Statistics: 10 Abstract Views  -  Detailed Statistics Created: Wed, 13 Jan 2021, 10:41:00 EST