Book announcement: Evolving Connectionist Systems

[Nik Kasabov]

The monograph book

 " Evolving Connectionist Systems - Methods and Applications in
Bioinformatics, Brain Study and Intelligent Machines" 

has just been published by Springer http://www.springer.de  , series
Perspectives in Neurocomputing, 2002XII, 308 p. Softcover;
1-85233-400-2.

Some software, colour figures, .ppt presentations, and related papers
are available from http://www.kedri.info (ECOS page)

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Content:

Prologue 

Part I. Evolving Connectionist Systems: Methods and Techniques

Chapter 1. Evolving processes and evolving connectionist systems 
Chapter 2. Evolving connectionist systems for unsupervised learning
Chapter 3. Evolving connectionist systems for supervised learning
Chapter 4. Recurrent evolving systems, reinforcement learning, and
evolving automata
Chapter 5. Evolving neuro- fuzzy inference systems
Chapter 6. Evolutionary computation and evolving connectionist
systems
Chapter 7. Evolving connectionist machines: a framework, biological
motivation, and implementation issues

Part II. Applications in Bioinformatics, Brain Study, and Intelligent
Machines  

Chapter 8. Data  analysis, modelling and knowledge discovery in
Bioinformatics 
Chapter 9. Analysis and modelling of brain functions and cognitive
processes 
Chapter 10. Modelling the emergence of acoustic segments (phones) in
spoken languages 
Chapter 11. On-line adaptive speech recognition
Chapter 12. On-line image and video data processing 
Chapter 13. Evolving systems for integrated multi-modal information
processing
Epilogue 
References
Extended glossary 
Subject index
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best regards

Nik Kasabov





Prof. Nik Kasabov, MSc, PhD
Fellow RSNZ, NZCS, Sr Member IEEE
Director, Knowledge Engineering and Discovery Research Institute
Chair of Knowledge Engineering, School of IT
Auckland University of Technology (AUT)
phone: +64 9 917 9506 ; fax: +64 9 917 9501
mobile phone: +64 21 488 328
WWW http://www.kedri.info
email: nkasabov at aut.ac.nz