Soft Computing for Hybrid Intelligent Systems
Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. This edited book comprises papers on diverse aspects of soft computing and hybrid intelligen...
Saved in:
| Údar Corparáideach: | SpringerLink (Online service) |
|---|---|
| Údair Eile: | Castillo, Oscar. (Eagarthóir, http://id.loc.gov/vocabulary/relators/edt), Melin, Patricia. (Eagarthóir, http://id.loc.gov/vocabulary/relators/edt), Pedrycz, Witold. (Eagarthóir, http://id.loc.gov/vocabulary/relators/edt) |
| Formáid: | Leictreonach ríomhLeabhar |
| Teanga: | English |
| Foilsithe: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
|
| Eagrán: | 1st ed. 2008. |
| Sraith: | Studies in Computational Intelligence,
154 |
| Ábhair: | |
| Rochtain Ar Líne: | https://doi.org/10.1007/978-3-540-70812-4 |
| Clibeanna: |
Cuir Clib Leis
Gan Chlibeanna, Bí ar an gcéad duine leis an taifead seo a chlibeáil!
|
Míreanna Comhchosúla
-
Hybrid Evolutionary Algorithms
Foilsithe: (2007) -
The Fuzzification of Systems The Genesis of Fuzzy Set Theory and its Initial Applications - Developments up to the 1970s /
le: Seising, Rudolf., et al.
Foilsithe: (2007) -
Advances in Intelligent Tutoring Systems
Foilsithe: (2010) -
Self-Adaptive Heuristics for Evolutionary Computation
le: Kramer, Oliver., et al.
Foilsithe: (2008) -
Advances in Evolutionary Computing for System Design
Foilsithe: (2007)



