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dc.contributor.authorFrank, R.
dc.contributor.authorDavey, N.
dc.contributor.authorHunt, S.
dc.contributor.editorPedrycz, W.
dc.contributor.editorVasilakos, A.
dc.date.accessioned2009-10-21T08:27:52Z
dc.date.available2009-10-21T08:27:52Z
dc.date.issued2000
dc.identifier.citationFrank , R , Davey , N & Hunt , S 2000 , Design and use of neural network applications in telecommunications . in W Pedrycz & A Vasilakos (eds) , Computational Intelligence in Telecommunications Networks . CRC Press , pp. 303-327 .
dc.identifier.isbn084931075x
dc.identifier.isbn9780849310751
dc.identifier.otherPURE: 84217
dc.identifier.otherPURE UUID: 6008bee2-6985-494c-8da7-03f1d4b61f5e
dc.identifier.otherdspace: 2299/3978
dc.identifier.otherScopus: 85056964764
dc.identifier.urihttp://hdl.handle.net/2299/3978
dc.descriptionCopyright CRC Press. [Full text of this chapter is not available in the UHRA]
dc.description.abstractThis chapter describes the use of neural networks in the analysis of software systems. The development of large software systems over long periods of time, and the software crisis that this has produced, provides a rich source of problems. Many of these problems may be addressed, in part at least, with the aid of pattern matching and pattern classification tools such as artificial neural networks. We concentrate on two problems: analyzing the complexity of large software systems following the procedure set out in Reference 1 and detecting copies (clones) of source code procedures in large software systems.en
dc.language.isoeng
dc.publisherCRC Press
dc.relation.ispartofComputational Intelligence in Telecommunications Networks
dc.titleDesign and use of neural network applications in telecommunicationsen
dc.contributor.institutionSchool of Computer Science
dc.relation.schoolSchool of Computer Science
dcterms.dateAccepted2000
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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