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...
Wedi'i Gadw mewn:
| Awdur Corfforaethol: | SpringerLink (Online service) |
|---|---|
| Awduron Eraill: | Castillo, Oscar. (Golygydd, http://id.loc.gov/vocabulary/relators/edt), Melin, Patricia. (Golygydd, http://id.loc.gov/vocabulary/relators/edt), Pedrycz, Witold. (Golygydd, http://id.loc.gov/vocabulary/relators/edt) |
| Fformat: | Electronig eLyfr |
| Iaith: | English |
| Cyhoeddwyd: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
|
| Rhifyn: | 1st ed. 2008. |
| Cyfres: | Studies in Computational Intelligence,
154 |
| Pynciau: | |
| Mynediad Ar-lein: | https://doi.org/10.1007/978-3-540-70812-4 |
| Tagiau: |
Ychwanegu Tag
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Eitemau Tebyg
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Hybrid Evolutionary Algorithms
Cyhoeddwyd: (2007) -
The Fuzzification of Systems The Genesis of Fuzzy Set Theory and its Initial Applications - Developments up to the 1970s /
gan: Seising, Rudolf., et al.
Cyhoeddwyd: (2007) -
Advances in Intelligent Tutoring Systems
Cyhoeddwyd: (2010) -
Self-Adaptive Heuristics for Evolutionary Computation
gan: Kramer, Oliver., et al.
Cyhoeddwyd: (2008) -
Advances in Evolutionary Computing for System Design
Cyhoeddwyd: (2007)



