Adaptive, evolving, hybrid connectionist systems for image pattern recognition

dc.contributor.author	Kasabov, Nikola	en_NZ
dc.contributor.author	Israel, Steven	en_NZ
dc.contributor.author	Woodford, Brendon J	en_NZ
dc.date.copyright	1999-05	en_NZ
dc.identifier.citation	Kasabov, N., Israel, S., & Woodford, B. J. (1999). Adaptive, evolving, hybrid connectionist systems for image pattern recognition (Information Science Discussion Papers Series No. 99/08). University of Otago. Retrieved from http://hdl.handle.net/10523/964	en
dc.identifier.uri	http://hdl.handle.net/10523/964
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dc.description.abstract	The chapter presents a new methodology for building adaptive, incremental learning systems for image pattern classification. The systems are based on dynamically evolving fuzzy neural networks that are neural architectures to realise connectionist learning, fuzzy logic inference, and case-based reasoning. The methodology and the architecture are applied on two sets of real data—one of satellite image data, and the other of fruit image data. The proposed method and architecture encourage fast learning, life-long learning and on-line learning when the system operates in a changing environment of image data.	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	image classification	en_NZ
dc.subject	case-based reasoning	en_NZ
dc.subject	Evolving Fuzzy Neural Networks	en_NZ
dc.subject.lcsh	QA76 Computer software	en_NZ
dc.title	Adaptive, evolving, hybrid connectionist systems for image pattern recognition	en_NZ
dc.type	Discussion Paper	en_NZ
dc.description.version	Unpublished	en_NZ
otago.bitstream.pages	21	en_NZ
otago.date.accession	2010-12-15 19:43:16	en_NZ
otago.school	Information Science	en_NZ
otago.openaccess	Open
otago.place.publication	Dunedin, New Zealand	en_NZ
dc.identifier.eprints	990	en_NZ
otago.school.eprints	Knowledge Engineering Laboratory	en_NZ
otago.school.eprints	Information Science	en_NZ
otago.school.eprints	Surveying	en_NZ
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otago.relation.number	99/08	en_NZ