Applications of an unsupervised neural network to support sustainable development by modelling environmental, social and economic conditions

aut.conference.typePaper Published in Proceedings
aut.publisherThe International Society for Digital Earth (ISDE)
aut.relation.pages9 pages
aut.researcherShanmuganathan, Subana
dc.contributor.authorShanmuganathan, S
dc.date.accessioned2014-03-26T23:53:12Z
dc.date.accessioned2014-03-26T23:54:08Z
dc.date.accessioned2014-03-26T23:57:13Z
dc.date.available2014-03-26T23:53:12Z
dc.date.available2014-03-26T23:54:08Z
dc.date.available2014-03-26T23:57:13Z
dc.date.copyright2013-03-28
dc.date.issued2013-03-28
dc.description.abstractIn this paper, initially the circumstances that led to a need for ecologically sustainable development and the progress achieved in this regard are briefly looked at. Thereafter, applications of an unsupervised algorithmic neural network to aid sustainable development by modelling environmental, social and economic conditions of complex natural habitats using measurable variable data are reviewed
dc.identifier.citationIn proceedings (CD version) of the 4th International Symposium on Digital Earth, Tokyo, Japan, 28-31 March 2005.
dc.identifier.urihttps://hdl.handle.net/10292/7040
dc.relation.replaceshttp://hdl.handle.net/10292/7038
dc.relation.replaces10292/7038
dc.relation.replaceshttp://hdl.handle.net/10292/7039
dc.relation.replaces10292/7039
dc.relation.urihttp://www.digitalearth-isde.org/ssw/139
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version).
dc.rights.accessrightsOpenAccess
dc.subjectSustainable development
dc.subjectSelf-organising maps
dc.subjectEcological modelling
dc.titleApplications of an unsupervised neural network to support sustainable development by modelling environmental, social and economic conditions
dc.typeConference Contribution
pubs.elements-id164653
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Vice Chancellor's Group
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
A05_4th_intern_symposium_on_digital_Earth.pdf
Size:
845.23 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
licence.htm
Size:
30.34 KB
Format:
Unknown data format
Description: