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Details van artikel 59 van 129 gevonden artikelen
| Titel: |
Fuzzy adaptive networks in machining process modelling: dimensional error prediction for turning operations |
| Auteur: |
Jiao, Y. Pei, Z. J. Lei, S. Lee, E. S. Fisher, G. R. |
| Verschenen in: |
International journal of production research |
| Paginering: | Jaargang 43 (2005) nr. 14 pagina's 2931-2948 |
| Jaar: |
2005-07-15 |
| Inhoud: |
Due to the complexity of machine tool structure and the cutting process, the dynamics of machining processes are still not completely understood. This is especially true for high-speed machining processes. To model and control these complex processes, new approaches, which can represent complex phenomenon combined with learning ability, are needed. The combined neural-fuzzy approach appears ideally suited for this purpose. To illustrate the approach, the recently developed fuzzy adaptive networks are used to model dimensional error in turning operations. The fuzzy adaptive network has both the learning ability of a neural network and the linguistic representation of a complex, not well understood or vague phenomenon. An approximate model representing the influences of machining parameters on dimensional error is first established. This model is then improved by learning with the given training data. The improved models are verified by the use of test data, which are obtained by the use of actual experiments. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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