| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322646 | Expert Systems with Applications | 2011 | 9 Pages |
Abstract
⺠Three ANN based methods for monitoring linear profiles are proposed. ⺠Proposed methods perform better than T2, EWMA/R and EWMA-3 charts for medium to large shifts. ⺠A advantage of proposed ANN methods is to train the neural networks to detect desired shifts. ⺠ARL criterion is used to assess the efficiencies of the methods. ⺠Control charts are used to detect shifts in intercept, slope and residuals.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
S.Z. Hosseinifard, M. Abdollahian, P. Zeephongsekul,