haku: @author Kulkarni, U. / yhteensä: 3
viite: 2 / 3
| Tekijä: | Kulkarni, U. Kiang, M. |
| Otsikko: | Dynamic grouping of parts in flexible manufacturing systems - a self-organising neural networks approach |
| Lehti: | European Journal of Operational Research
1995 : JUL 7, VOL. 84:1, p. 192-212 |
| Asiasana: | OPERATIONAL RESEARCH DECISION SUPPORT SYSTEMS NEURAL NETWORKS |
| Kieli: | eng |
| Tiivistelmä: | Artificial Intelligence (AI) has recently been recognized as a worthwhile tool for supporting manufacturing operations. This paper reviews AI-related approaches to Group Technology (GT) and presents the Self-Organizing Map (SOM) network, a special type of neural networks, as an intelligent tool for grouping parts and machines. SOM can learn from complex, multi-dimensional data and transform them into visually decipherable clusters. What sets this technique apart from others in GT is that SOM offers flexibility of choosing from multiple grouping alternatives. |
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