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...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2008, 2008
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| Edition: | 1st ed. 2008 |
| Series: | Studies in Computational Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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