Evolving Connectionist Systems Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines
Many methods and models have been proposed for solving difficult problems such as prediction, planning and knowledge discovery in application areas such as bioinformatics, speech and image analysis. Most, however, are designed to deal with static processes which will not change over time. Some proce...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
London
Springer London
2003, 2003
|
| Edition: | 1st ed. 2003 |
| Series: | Perspectives in Neural Computing
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- I Evolving Connectionist Systems: Methods and Techniques
- 1 Evolving Processes and Evolving Connectionist Systems
- 2 Evolving Connectionist Systems for Unsupervised Learning
- 3 Evolving Connectionist Systems for Supervised Learning
- 4 Recurrent Evolving Systems, Reinforcement Learning and Evolving Automata
- 5 Evolving Neuro-Fuzzy Inference Systems
- 6 Evolutionary Computation and Evolving Connectionist Systems
- 7 Evolving Connectionist Machines — Framework, Biological Motivation and Implementation Issues
- II Evolving Connectionist Systems: Applications in Bioinformatics, Brain Study, and Intelligent Systems
- 8 Data Analysis, Modelling and Knowledge Discovery in Bioinformatics
- 9 Dynamic Modelling of Brain Functions and Cognitive Processes
- 10 Modelling the Emergence of Acoustic Segments (Phonemes) in Spoken Languages
- 11 On-Line Adaptive Speech Recognition
- 12 On-Line Image and Video Data Processing
- 13 Evolving Systems for Integrated Multi-Modal Information Processing
- Epilogue
- References
- Extended Glossary