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| Titel: |
A neural network-based algorithm that searches for the measuring points of a rule surface |
| Auteur: |
Lin, Zone-Ching Liu, Q.Y. |
| Verschenen in: |
IIE transactions |
| Paginering: | Jaargang 32 (2000) nr. 4 pagina's 333-343 |
| Jaar: |
2000-04-01 |
| Inhoud: |
The purpose of this study is to use a proposed neural network-based algorithm to explore the determination of the recommended measuring points for a rule surface. The task of measuring a rule surface starts from the rule surface design blueprint. Mesh grid data on the designed rule surface were selected. The pattern recognition capability of the back-propagation neural network is explored in this article. The network learning was successfully performed by the learning and testing of the network, the support of a designated acceptable perpendicular error value, a learning model in which training examples were gradually added and the adjustment of the number of training examples according to the network structure. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 1 van 24 gevonden artikelen
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