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 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. Presents innovative applications of advanced computational intelligence paradigms INDICE: An Introduction to Computational Intelligence Paradigms and their Applications.- A Quest for Adaptable and Interpretable Architectures of Computational Intelligence.- Membership Map.- Advanced Dev of Fuzzy ARTMAP –Pattern Classification Boaz.- Large Margin Methods for Structured Output Prediction.- nsemble Classifier Design.- Functional Principal Points and Functional ClusterAnalysis.- Clustering with Size Constraints.- luster Validating Techniques.- Fuzzy Blocking Regression Models.- Support Vector Machines.- Linkage Analysis in Genetic Algorithms.

• ISBN: 978-3-540-79473-8
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 300
• Fecha Publicación: 01/06/2008
• Nº Volúmenes: 1
• Idioma: Inglés