Name
Title | ||
|---|---|---|
The Hybrid Fuzzy Least-Squares Regression Approach to Modeling ManufacturingProcesses |
Abstract | ||
|---|---|---|
Uncertainty in manufacturing processes is caused both by randomness, as in material properties, and by fuzziness, as in the inexact knowledge. Previous research has seldom considered these two types of uncertainty when modeling manufacturing processes. In this paper, a hybrid fuzzy least-squares regression (HFLSR) approach to modeling manufacturing processes, which does take into consideration the... |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TFUZZ.2007.903324 | IEEE Transactions on Fuzzy Systems |
Keywords | DocType | Volume |
Manufacturing processes,Artificial neural networks,Uncertainty,Linear regression,Fuzzy neural networks,Regression analysis,Material properties,Arithmetic,Accuracy,Employment | Journal | 16 |
Issue | ISSN | Citations |
3 | 1063-6706 | 1 |
PageRank | References | Authors |
0.35 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. K. Kwong | 1 | 533 | 40.00 |
| Yizeng Chen | 2 | 125 | 6.81 |
| K. Y. Chan | 3 | 73 | 5.64 |
| Heung Wong | 4 | 80 | 22.74 |