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Digitale Medien

Automatic generation of group technology families during the part classification process (1993)

Moon, Y. B. ; Kao, Y.

Springer

The international journal of advanced manufacturing technology 8 (1993), S. 160-166

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Details

ISSN: 1433-3015

Schlagwort(e): Group technology ; Part family formation and classification ; Neural networks ; Adaptive resonance theory

Quelle: Springer Online Journal Archives 1860-2000

Thema: Maschinenbau

Notizen: Abstract Initial part family formation and subsequent part classification are two important problems to be addressed in applying the group technology principle. Although these two problems are closely related, they have been treated separately. As an aggregate problem, the automatic creation of new part families during the classification process, is investigated. A two-layer neural network using the adaptive resonance theory is adopted. The capability of this neural network model of dealing with the stability-plasticity dilemma is utilised in classifying the parts into families and creating new families if necessary. A heuristic algorithm using the neural network is described, with illustrative examples.

Materialart: Digitale Medien

URL: http://dx.doi.org/10.1007/BF01749906

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