Novel noise-filtering ability of heterogeneous five layered neural network trained identity mapping using BP algorithm

Shows that the heterogeneous five-layered network has much more robustness than the conventionally used three-layered network in spite of the cost for constructing the five-layered network, where each network is realizing identity mapping. It can detect the feature of the input-output relationship a...

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Bibliographische Detailangaben

Hauptverfasser:	Ishiwatari, H., Kamruzzaman, J., Kumagai, Y.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer science Computer vision Costs Feature extraction Neural networks Noise robustness Temperature
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