Part Family Formation and Classification Using Machine Learning Techniques
| Autor: | Y. B. Moon |
|---|---|
| Rok vydání: | 1998 |
| Předmět: |
Scheme (programming language)
business.industry Computer science Cellular manufacturing Machine learning computer.software_genre Variety (cybernetics) Multiclass classification Identification (information) Group technology Instance-based learning Artificial intelligence Representation (mathematics) business computer computer.programming_language |
| Zdroj: | Group Technology and Cellular Manufacturing ISBN: 9781461374978 |
| Popis: | An ideal tool for successful part family identification, as part of group technology (GT) efforts, should address several important technical issues. First, the tool must have an adequate representation scheme to cover a wide variety of part features, which are necessary for different applications. Second, the tool must be flexible enough to capture a changing array of information because of increasing demand placed by variations in the types of products or new applications. Third, it is desirable to have a tool which can provide a meaningful description of the part groups so those humans can easily interpret and evaluate the groups with respect to different applications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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