Beschreibung
InhaltsangabeAn 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 Cluster Analysis.- Clustering with Size Constraints.- luster Validating Techniques.- Fuzzy Blocking Regression Models.- Support Vector Machines.- Linkage Analysis in Genetic Algorithms.
Autorenporträt
InhaltsangabeAn 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.
