{"id":{"repo_id":"radboud","oai_identifier":"oai:repository.ubn.ru.nl:2066/18657"},"canonical_url":"https://search.dev.ndltd.org/etd/radboud/oai:repository.ubn.ru.nl:2066/18657","repository":{"repo_id":"radboud","name":"Radboud University Nijmegen","base_url":"https://repository.ubn.ru.nl/oai/request"},"display":{"title":"Platforms for artificial neural networks : neurosimulators and performance prediction of MIMD-parallel systems","abstract":"Contains fulltext : 18657.pdf (Publisher’s version ) (Open Access)","abstract_html":"Contains fulltext : 18657.pdf (Publisher’s version ) (Open Access)","abstract_has_math":false,"creators":["Vuurpijl, L.G."],"institution":"[S.l. : s.n.]","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1998,"date_issued":"1998","date_published":"1998","updated_at":"2026-07-24T04:03:01Z","subjects":[],"languages":[],"rights":["(c) Louis Gerard Vuurpijl, 1998"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["9090113479"],"render_values":[{"text":"9090113479","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2066/18657","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Vuurpijl, L.G."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["1998"]},{"key":"dc:publisher","label":"Institution","values":["[S.l. : s.n.]"]},{"key":"dc:type","label":"Dc Type","values":["Doctoral thesis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["(c) Louis Gerard Vuurpijl, 1998"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://repository.ubn.ru.nl//bitstream/handle/2066/18657/18657.pdf","http://hdl.handle.net/2066/18657","9090113479"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Contains fulltext : 18657.pdf (Publisher’s version ) (Open Access)","In this thesis, two platforms for simulating artificial neural networks are discussed: MIMD-parallel processor systems as an execution platform and neurosimulators as a research and development platform. Because of the parallelism encountered in neural networks, distributed processor systems seem to provide a proper underlying execution platform. The suitability of the class of MIMD-parallel computer platforms (in particular multi-transputer systems) for neural network simulation programs is discussed in this thesis. In order to evaluate the suitability of such systems, a new performance prediction method is presented and evaluated for several classes of neural networks. Neurosimulators provide a platform for simulating, developing, evaluating and executing neural network models. In the last two chapters of this thesis, neurosimulators are examined: environments for the development and simulation of artificial neural networks. By considering their common features, and the requirements of their users, the design criteria for a new neurosimulator are specified. The design, implementation and evaluation of PREENS, an action-oriented neurosimulator is presented in the final chapter.","Promotores : J. Vytopil en T. Schouten","X, 212 p."]},{"key":"dc:title","label":"Title","values":["Platforms for artificial neural networks : neurosimulators and performance prediction of MIMD-parallel systems"]}]}],"canonical_facts":{"dc:creator":["Vuurpijl, L.G."],"dc:date":["1998"],"dc:description":["Contains fulltext : 18657.pdf (Publisher’s version ) (Open Access)","In this thesis, two platforms for simulating artificial neural networks are discussed: MIMD-parallel processor systems as an execution platform and neurosimulators as a research and development platform. Because of the parallelism encountered in neural networks, distributed processor systems seem to provide a proper underlying execution platform. The suitability of the class of MIMD-parallel computer platforms (in particular multi-transputer systems) for neural network simulation programs is discussed in this thesis. In order to evaluate the suitability of such systems, a new performance prediction method is presented and evaluated for several classes of neural networks. Neurosimulators provide a platform for simulating, developing, evaluating and executing neural network models. In the last two chapters of this thesis, neurosimulators are examined: environments for the development and simulation of artificial neural networks. By considering their common features, and the requirements of their users, the design criteria for a new neurosimulator are specified. The design, implementation and evaluation of PREENS, an action-oriented neurosimulator is presented in the final chapter.","Promotores : J. Vytopil en T. 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