A Modular Single-Hidden-Layer Perceptron for Letter Recognition

An n-class problem is decomposed into n two-class problems. Naturally, modular multilayer perceptrons (MLPs) come into being. A single- output MLP is behalf of a class and trained by a two-class learning subset. A training subset only consists of all samples from a special class and a part samples f...

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Bibliographische Detailangaben

Hauptverfasser:	Daqi, Gao, Zhu, Shangming, Gu, Wenbing
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Classification Correct Rate Computer science control theory systems Connectionism. Neural networks Decision Boundary Exact sciences and technology Letter Recognition Real Output Training Subset
Online-Zugang:	Volltext
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