Neuro-fuzzy methods for environmental modelling

dc.contributor.author	Purvis, Martin	en_NZ
dc.contributor.author	Kasabov, Nikola	en_NZ
dc.contributor.author	Benwell, George L	en_NZ
dc.contributor.author	Zhou, Qing Qing	en_NZ
dc.contributor.author	Zhang, Feng	en_NZ
dc.date.copyright	1998-12	en_NZ
dc.identifier.citation	Purvis, M., Kasabov, N., Benwell, G. L., Zhou, Q. Q., & Zhang, F. (1998). Neuro-fuzzy methods for environmental modelling (Information Science Discussion Papers Series No. 98/10). University of Otago. Retrieved from http://hdl.handle.net/10523/1113	en
dc.identifier.uri	http://hdl.handle.net/10523/1113
dc.description.abstract	This paper describes combined approaches of data preparation, neural network analysis, and fuzzy inferencing techniques (which we collectively call neuro-fuzzy engineering) to the problem of environmental modelling. The overall neuro-fuzzy architecture is presented, and specific issues associated with environmental modelling are discussed. A case study that shows how these techniques can be combined is presented for illustration. We also describe our current software implementation that incorporates neuro-fuzzy analytical tools into commercially available geographical information system software.	en_NZ
dc.format.mimetype	application/pdf
dc.publisher	University of Otago	en_NZ
dc.relation.ispartofseries	Information Science Discussion Papers Series	en_NZ
dc.subject.lcsh	QA76 Computer software	en_NZ
dc.title	Neuro-fuzzy methods for environmental modelling	en_NZ
dc.type	Discussion Paper	en_NZ
dc.description.version	Unpublished	en_NZ
otago.bitstream.pages	18	en_NZ
otago.date.accession	2011-01-12 02:36:24	en_NZ
otago.school	Information Science	en_NZ
otago.openaccess	Open
otago.place.publication	Dunedin, New Zealand	en_NZ
dc.identifier.eprints	1024	en_NZ
otago.school.eprints	Knowledge Engineering Laboratory	en_NZ
otago.school.eprints	Information Science	en_NZ
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otago.relation.number	98/10	en_NZ