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2007 | Buch

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Evolving Connectionist Systems

The Knowledge Engineering Approach

verfasst von: Nikola Kasabov

Verlag: Springer London

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Inhaltsverzeichnis

Frontmatter

Evolving Connectionist Methods

Frontmatter

1. Feature Selection, Model Creation, and Model Validation

2. Evolving Connectionist Methods for Unsupervised Learning

3. Evolving Connectionist Methods for Supervised Learning

4. Brain Inspired Evolving Connectionist Models

5. Evolving Neuro-Fuzzy Inference Models

6. Population-Generation-Based Methods: Evolutionary Computation

7. Evolving Integrated Multimodel Systems

Evolving Intelligent Systems

Frontmatter

8. Adaptive Modelling and Knowledge Discovery in Bioinformatics

9. Dynamic Modelling of Brain Functions and Cognitive Processes

10. Modelling the Emergence of Acoustic Segments in Spoken Languages

11. Evolving Intelligent Systems for Adaptive Speech Recognition

12. Evolving Intelligent Systems for Adaptive Image Processing

13. Evolving Intelligent Systems for Adaptive Multimodal Information Processing

14. Evolving Intelligent Systems for Robotics and Decision Support

15. What Is Next: Quantum Inspired Evolving Intelligent Systems?

Backmatter

Titel: Evolving Connectionist Systems
verfasst von: Nikola Kasabov
Copyright-Jahr: 2007
Verlag: Springer London
Electronic ISBN: 978-1-84628-347-5
Print ISBN: 978-1-84628-345-1
DOI: https://doi.org/10.1007/978-1-84628-347-5