Hierarchical Knowledge Representation to Approximate Functions

This paper presents a practical example of a system based on neural networks that permits to build a conceptual hierarchy. This neural system classifies an input pattern as an element of each different category or subcategory that the system has, until an exhaustive classification is obtained. The p...

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Bibliographische Detailangaben

Hauptverfasser:	de Mingo, L.F., Arroyo, F., Castellanos, J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial intelligence Artificial neural networks Assembly systems Humans Joining processes Knowledge representation Neural networks Pattern recognition Prototypes Psychology
Online-Zugang:	Volltext bestellen
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