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Details van artikel 47 van 129 gevonden artikelen
| Titel: |
Data reduction for multiple functional data with class information |
| Auteur: |
Jung, UK Jeong, Myong K. Lu, Jye-chyi |
| Verschenen in: |
International journal of production research |
| Paginering: | Jaargang 44 (2006) nr. 14 pagina's 2695-2710 |
| Jaar: |
2006-07-15 |
| Inhoud: |
The term 'functional data' (or 'curve') refers to an analog or digital signal measured during each operational cycle of a manufacturing process. Functional data contain rich information concerning the process condition and product quality for quality improvement. We propose a vertical group-wise threshold (VGWT) procedure for the reduction of multiple high-dimensional functional data containing class information. The proposed method selects important wavelet coefficients for the whole set of multiple curves by a comparison between every vertical energy metric and a threshold (VGWT). The VGWT increases the class separability with a reasonably small loss in data-reduction efficiency. A real-life example is presented to illustrate the proposed method, and a Monte Carlo simulation is performed to study the impact of different levels of class variation and noise. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 47 van 129 gevonden artikelen
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