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  • AUT Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
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Applications of an unsupervised neural network to support sustainable development by modelling environmental, social and economic conditions

Shanmuganathan, S
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A05_4th_intern_symposium_on_digital_Earth.pdf (845.2Kb)
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http://hdl.handle.net/10292/7040
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Abstract
In 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
Keywords
Sustainable development; Self-organising maps; Ecological modelling
Date
March 28, 2013
Source
In proceedings (CD version) of the 4th International Symposium on Digital Earth, Tokyo, Japan, 28-31 March 2005.
Item Type
Conference Contribution
Publisher
The International Society for Digital Earth (ISDE)
Publisher's Version
http://www.digitalearth-isde.org/ssw/139
Rights Statement
NOTICE: 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).

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