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Mutual Information Preserving Analysis of a Single Layer Feedforward Network
KTH, Skolan för elektroteknik och datavetenskap (EECS), Teknisk informationsvetenskap.
KTH, Skolan för elektroteknik och datavetenskap (EECS), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0003-2638-6047
KTH, Skolan för elektroteknik och datavetenskap (EECS), Teknisk informationsvetenskap.ORCID-id: 0000-0002-7926-5081
2018 (engelsk)Inngår i: Proceedings of the International Symposium on Wireless Communication Systems, VDE Verlag GmbH , 2018Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

We construct a single layer feed forward network and analyze the constructed system using information theoretic tools, such as mutual information and data processing inequality. We derive a threshold on the number of hidden nodes required to achieve a good classification performance. Classification performance is expected to saturate as we increase the number of hidden nodes more than the threshold. The threshold is further verified by experimental studies on benchmark datasets. Index Terms-Neural networks, mutual information, extreme learning machine, invertible function.

sted, utgiver, år, opplag, sider
VDE Verlag GmbH , 2018.
Emneord [en]
Data handling, Information theory, Learning systems, Wireless telecommunication systems, Benchmark datasets, Classification performance, Extreme learning machine, Feed-forward network, Hidden nodes, Index terms, Mutual informations, Single layer, Network layers
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-247133DOI: 10.1109/ISWCS.2018.8491242Scopus ID: 2-s2.0-85056724949ISBN: 9781538650059 (tryckt)OAI: oai:DiVA.org:kth-247133DiVA, id: diva2:1301872
Konferanse
15th International Symposium on Wireless Communication Systems, ISWCS 2018, 28 August 2018 through 31 August 2018
Merknad

QC 20190403

Tilgjengelig fra: 2019-04-03 Laget: 2019-04-03 Sist oppdatert: 2019-04-03bibliografisk kontrollert

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Javid, Alireza M.Chatterjee, SaikatSkoglund, Mikael

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