Abstract | ||
---|---|---|
This paper analyzes the stage of maturity that neurofuzzy systems (and soft computing in general) have recently reached and tackles the several reasons why they have not yet reached a widespread acceptance in industrial and agronomic applications, despite the good performance they can offer with a reduced design effort. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/ISDA.2009.133 | ISDA |
Keywords | Field | DocType |
soft computing,industrial acceptance,agronomic application,neurofuzzy system,good performance,intelligent systems,widespread acceptance,reduced design effort,fuzzy systems,fuzzy system,artificial neural networks,artificial neural network,data mining,fuzzy logic | Intelligent decision support system,Computer science,Fuzzy logic,Neurofuzzy systems,Artificial intelligence,Fuzzy neural nets,Soft computing,Fuzzy control system,Artificial neural network,Machine learning | Conference |
ISSN | ISBN | Citations |
2164-7143 | 978-0-7695-3872-3 | 0 |
PageRank | References | Authors |
0.34 | 2 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Leonardo M. Reyneri | 1 | 52 | 9.12 |