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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Sato-Ilic, Mika (Editor ), Virvou, Maria (Editor ), Tsihrintzis, George A. (Editor ), Balas, Valentina Emilia (Editor ), Abeynayake, Canicious (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 137
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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