Show simple item record

dc.contributor.authorField, S.
dc.date.accessioned2010-11-04T15:42:47Z
dc.date.available2010-11-04T15:42:47Z
dc.date.issued1995
dc.identifier.citationField , S 1995 , Applications of neural networks in telecommunications . UH Computer Science Technical Report , vol. 219 , University of Hertfordshire .
dc.identifier.otherPURE: 97663
dc.identifier.otherPURE UUID: 08fd0529-2e55-4904-9383-3e9c0123aff2
dc.identifier.otherdspace: 2299/4962
dc.identifier.urihttp://hdl.handle.net/2299/4962
dc.description.abstractThe Teaching Company Scheme (TCS) I am participating in involves investigating the potential for using neural networks in the development of complex software products. Recently neural networks have enjoyed a resurgence in popularity in academia and industry (cf. DTI scheme), and it has become apparent that there are a number of ways in which the technology can be applied to real-world problems. Neural networks have a statistical basis, and they can be viewed as making these powerful statistical techniques available and accessible to non-staticians.en
dc.language.isoeng
dc.publisherUniversity of Hertfordshire
dc.relation.ispartofseriesUH Computer Science Technical Report
dc.rights/dk/atira/pure/core/openaccesspermission/open
dc.titleApplications of neural networks in telecommunicationsen
dc.contributor.institutionSchool of Computer Science
dc.relation.schoolSchool of Computer Science
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstyperestrictedAccess


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record