Analysis and Design of Intelligent Systems Using Soft Computing Techniques
This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be use...
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| 其他作者: | , , , , |
|---|---|
| 格式: | Livre numérique |
| 语言: | Anglais |
| 出版: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2007. |
| 丛编: | Advances in Intelligent and Soft Computing
41 |
| 在线阅读: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 提示: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Analysis and design of intelligent systems using soft computing techniques, Edited by Patricia Melin, Oscar Castillo, Eduardo Gomez Ramirez... [et al.], Berlin, Heidelberg, Springer-Verlag, 2007, 1 vol. (XXI-855 p.), Advances in soft computing, 978-3-540-72431-5 |
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| 245 | 0 | 0 | |a Analysis and Design of Intelligent Systems Using Soft Computing Techniques |c edited by Patricia Melin, Oscar Castillo, Eduardo Gómez Ramírez, Janusz Kacprzyk, Witold Pedrycz. |
| 250 | |a 1st ed. 2007. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Advances in Intelligent and Soft Computing |v 41 |x 1867-5670 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Fuzzy Logic as the Logic of Natural Languages I: Type-2 Fuzzy Logic: Theory and Applications II: Fuzzy Clustering: Theory and Applications III: Intelligent Identification and Control IV: Time Series Prediction V: Pattern Recognition VI: Evolutionary Computation VII: Fuzzy Modeling VIII: Intelligent Manufacturing and Scheduling IX: Intelligent Agents X: Neural Networks Theory XI: Robotics XII: Fuzzy Logic Applications | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas | ||
| 700 | 1 | |a Melin, Patricia. |4 pbd | |
| 700 | 1 | |a Castillo, Oscar. |4 pbd | |
| 700 | 1 | |a Kacprzyk, Janusz, |d 1947- |4 pbd | |
| 700 | 1 | |a Pedrycz, Witold, |d 1953- |4 pbd | |
| 700 | 1 | |a Gomez-Ramirez, Eduardo, |d 1968- |4 pbd | |
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