| Status | 已發表Published |
| Unsupervised neural learning algorithm for setup generation in process planning | |
| Chen C.L.Philip; LeClair Steven R. | |
| 1993-12-01 | |
| Source Publication | Intelligent Engineering Systems Through Artificial Neural Networks
 |
| Volume | 3 |
| Pages | 663-668 |
| Abstract | Setup generation is a pivotal step in automated process planning as it greatly influences machine/tool selection, machining sequences and fixture configuration. The proposed algorithm and architecture incorporate multiple objective functions into setup generation. Intersecting and non-intersecting features within a setup are identified and classified using an associative memory. After the feature sequence is determined, several algorithms are proposed to obtain the best tool sequence for making the features in a setup. |
| URL | View the original |
| Language | 英語English |
| Fulltext Access | |
| Document Type | Conference paper |
| Collection | University of Macau |
| Affiliation | Wright State University |
| Recommended Citation GB/T 7714 | Chen C.L.Philip,LeClair Steven R.. Unsupervised neural learning algorithm for setup generation in process planning[C], 1993, 663-668. |
| APA | Chen C.L.Philip., & LeClair Steven R. (1993). Unsupervised neural learning algorithm for setup generation in process planning. Intelligent Engineering Systems Through Artificial Neural Networks, 3, 663-668. |
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