Computational intelligence paradigms : innovative applications
System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex s...
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| Další autoři: | , , , , , , |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2008. |
| Edice: | Studies in Computational Intelligence
137 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational Intelligence Paradigms, Innovative Applications, Lakhmi C. Jain, Mika Sato-Ilic, 2008, Berlin, Springer, 1 vol. (VIII-279 p.), Studies in Computational Intelligence, 978-3-540-79473-8 • Computational Intelligence Paradigms, Texte imprimé, 9783642098390 • Computational Intelligence Paradigms, Texte imprimé, 9783540872429 • Computational Intelligence Paradigms, Innovative Applications, Lakhmi C. Jain, Mika Sato-Ilic, 2008, Berlin, Springer, 1 vol. (VIII-279 p.), Studies in Computational Intelligence, 978-3-540-79473-8 |
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| 100 | 1 | |a Sato-Ilic, Mika. | |
| 245 | 1 | 0 | |a Computational intelligence paradigms : |b innovative applications |c edited by Lakhmi C. Jain, Mika Sato-Ilic, Maria Virvou, George A. Tsihrintzis, Valentina Emilia Balas, Canicious Abeynayake. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 137 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a An Introduction to Computational Intelligence Paradigms A Quest for Adaptable and Interpretable Architectures of Computational Intelligence MembershipMap: A Data Transformation for Knowledge Discovery Based on Granulation and Fuzzy Membership Aggregation Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification Large Margin Methods for Structured Output Prediction Ensemble MLP Classifier Design Functional Principal Points and Functional Cluster Analysis Clustering with Size Constraints Cluster Validating Techniques in the Presence of Duplicates Fuzzy Blocking Regression Models Support Vector Machines and Features for Environment Perception in Mobile Robotics Linkage Analysis in Genetic Algorithms | |
| 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 System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust. The book includes a sample of research on the innovative applications of advanced computational intelligence paradigms. The characteristics of computational intelligence paradigms such as learning, generalization based on learned knowledge, knowledge extraction from imprecise and incomplete data are the extremely important for the implementation of intelligent machines. The chapters include architectures of computational intelligence paradigms, knowledge discovery, pattern classification, clusters, support vector machines and gene linkage analysis. We believe that the research on computational intelligence will simulate great interest among designers and researchers of complex systems. It is important to use the fusion of various constituents of computational intelligence to offset the demerits of one paradigm by the merits of another | ||
| 700 | 1 | |a Virvou, Maria. |4 edt | |
| 700 | 1 | |a Tsihrintzis, George A. |4 edt | |
| 700 | 1 | |a Balas, Valentina Emilia. |4 edt | |
| 700 | 1 | |a Abeynayake, Canicious. |4 edt | |
| 700 | 1 | |a Jain, Lakhmi C., |d 1946- |4 pbd | |
| 700 | 1 | |a Abeynayake, Canicious, |d 19..- |4 pbd | |
| 700 | 1 | |a Balas, Valentina Emilia. |4 pbd | |
| 700 | 1 | |a Sato-Ilic, Mika, |d 19..- |4 pbd | |
| 700 | 1 | |a Tsihrintzis, George A. |4 pbd | |
| 700 | 1 | |a Virvou, Maria. |4 pbd | |
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| 776 | 0 | |t Computational Intelligence Paradigms |b Texte imprimé |z 9783642098390 | |
| 776 | 0 | |t Computational Intelligence Paradigms |b Texte imprimé |z 9783540872429 | |
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