Name
Title | ||
|---|---|---|
Application of an adaptive neural fuzzy inference system to thermal comfort and group technology problems |
Abstract | ||
|---|---|---|
The Adaptive Neural Fuzzy Inference System (ANFIS) is used to design two vague systems, namely thermal comfort and group technologies in production and operations management. Results show that both systems can be modeled successfully by the combined use of a fuzzy approach and neural network learning. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.camwa.2007.03.024 | Computers & Mathematics with Applications |
Keywords | Field | DocType |
thermal comfort,fuzzy approach,operations management,vague system,adaptive neural fuzzy inference,group technology,adaptive neural fuzzy inference system (anfis),group technology problem,combined use,neural network learning,neural network | Neural network learning,Neuro-fuzzy,Fuzzy logic,Thermal comfort,Group technology,Artificial intelligence,Adaptive neuro fuzzy inference system,Fuzzy control system,Mathematics,Machine learning,Fuzzy inference system | Journal |
Volume | Issue | ISSN |
54 | 11-12 | Computers and Mathematics with Applications |
Citations | PageRank | References |
5 | 1.10 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. Naadimuthu | 1 | 11 | 2.65 |
| D. M. Liu | 2 | 10 | 1.58 |
| E. S. Lee | 3 | 5 | 1.10 |