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Nonparametric graded data processing with back-error propagation networks

Thint Marcus P. , Wang Paul P. , Dollas Apostolos

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/69D8E21E-7A00-4447-BA05-9EC5B1C9983E-
Αναγνωριστικόhttp://www.sciencedirect.com/science/article/pii/0020025593900895-
Αναγνωριστικόhttps://doi.org/10.1016/0020-0255(93)90089-5-
Γλώσσαen-
Μέγεθος22 pagesen
ΤίτλοςNonparametric graded data processing with back-error propagation networksen
ΔημιουργόςThint Marcus P. en
ΔημιουργόςWang Paul P. en
ΔημιουργόςDollas Apostolosen
ΔημιουργόςΔολλας Αποστολοςel
ΕκδότηςElsevieren
ΠερίληψηWe present some computational characteristics of back-error propagation (BEP) networks in processing graded patterns that are otherwise indistinguishable in binary (or bipolar) representations. We address the problem of mapping l-of-m unit gradients with interunit activation profile d to n classes, where maximum noise amplitude of ϵ is permitted within gradient classes. Relations between these parameters and the training period measured in epochs (T) are discussed. Extensions of basic concepts are used to extract embedded feature information in constrained 2D grey-scale patterns and to group and classify distorted pattern clusters whose intraset distances are sometimes greater than interset metrics. Results have been applied to simulation studies in the domain of robotic tactile pattern recognition.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-02-
Ημερομηνία Δημοσίευσης1993-
Θεματική ΚατηγορίαBack-error propagation networksen
Βιβλιογραφική ΑναφοράM. P. Thint, P. P. Wang and A. Dollas, "Nonparametric graded data processing with back-error propagation networks", Inf. Sci., vol. 67, no. 1-2, pp. 167-188, Jan. 1993. doi:10.1016/0020-0255(93)90089-5en

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