Show simple item record

dc.contributor.authorLi, Xiaodongen_NZ
dc.contributor.authorPurvis, Martinen_NZ
dc.date.available2011-04-07T03:06:30Z
dc.date.copyright1996-10en_NZ
dc.identifier.citationLi, X., & Purvis, M. (1996). Using genetic algorithms for an optical thin-film learning model (Information Science Discussion Papers Series No. 96/20). University of Otago. Retrieved from http://hdl.handle.net/10523/1095en
dc.identifier.urihttp://hdl.handle.net/10523/1095
dc.descriptionPlease note that this is a searchable PDF derived via optical character recognition (OCR) from the original source document. As the OCR process is never 100% perfect, there may be some discrepancies between the document image and the underlying text.en_NZ
dc.description.abstractA novel connectionist architecture based on an optical thin-film multilayer model (OTFM) is described. The architecture is explored as an alternative to the widely used neuron-inspired models, with the thin-film thicknesses serving as adjustable ‘weights’ for the computation. The use of genetic algorithms for training the thin-film model, along with experimental results on the parity problem and the iris data classification are presented.en_NZ
dc.format.mimetypeapplication/pdf
dc.publisherUniversity of Otagoen_NZ
dc.relation.ispartofseriesInformation Science Discussion Papers Seriesen_NZ
dc.subject.lcshQA76 Computer softwareen_NZ
dc.titleUsing genetic algorithms for an optical thin-film learning modelen_NZ
dc.typeDiscussion Paperen_NZ
dc.description.versionUnpublisheden_NZ
otago.bitstream.pages6en_NZ
otago.date.accession2011-01-24 22:58:40en_NZ
otago.schoolInformation Scienceen_NZ
otago.openaccessOpen
otago.place.publicationDunedin, New Zealanden_NZ
dc.identifier.eprints1068en_NZ
otago.school.eprintsInformation Scienceen_NZ
dc.description.references[1] Goldberg, D.E., Genetic algorithms in search, optimization, and machine learning. Reading, MA: Addison-Wesley, 1989. [2] Purvis, M.K. and Xiaodong, L., "Connectionist Computations Based on an Optical Thin-Film Model", Proceedings of the First New Zealand Intemational Two Stream Conference on Artificial Neural Networks and Expert Systems. IEEE Computer Society Press, Los Alamitos, Califomia,pp.130-133, 1993. [3] Purvis, M.K. and Li, X., "Cormectionist Learning Using Optical Thin-Film Model", Proceedings of the 2nd New Zealand Intemational Two-Stream Conference on Artificial Neural Networks and Expert Systems, IEEE Computer Society Press, Los Alamitos, California,pp.63-66, 1995. [4] Case, W. E., "New Synthesis Method for Optical Thin-film Coatings", Applied Optics, 22:24, pp. 4111-4117, 1983. [5] Smith, R.E., Goldberg, D.E. and Earickson J.A., "SGA-C: A C-language Implementation of a Simple Genetic Algorithm", TCGA ReportNo. 91002, The University of Alabama, 1994. [6] Anderson, E., "The Irises of the Gaspe Peninsula", Bulletin of the American Iris Society, vol 59, pp. 2-5. [7] Ripley,B. D., "Statistical Aspects of Neural Networks" in Networks and Chaos -- Statistical and Probabilistic Aspects. Chapman and Hall, London, pp. 40-123, 1993. [8] Hart, A., "Using Neural Networks for Classification Tasks -- Some Experiments on Datasets and Practical Advice", J. Opl. Res. Soc., vol. 43, pp. 215-226, 1992.en_NZ
otago.relation.number96/20en_NZ
 Find in your library

Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record