Perspectives in Neural Computing

Evolving Connectionist Systems

Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines

Authors: Kasabov, Nikola

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  • The only book to provide a comprehensive, state-of-the-art overview of evolving connectionist systems

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About this book

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 processes - such as speech, biological information and brain signals - are not static, however, and in these cases different models need to be used which can trace, and adapt to, the changes in the processes in an incremental, on-line mode, and often in real time. This book presents generic computational models and techniques that can be used for the development of evolving, adaptive modelling systems. The models and techniques used are connectionist-based (as the evolving brain is a highly suitable paradigm) and, where possible, existing connectionist models have been used and extended. The first part of the book covers methods and techniques, and the second focuses on applications in bioinformatics, brain study, speech, image, and multimodal systems. It also includes an extensive bibliography and an extended glossary. Evolving Connectionist Systems is aimed at anyone who is interested in developing adaptive models and systems to solve challenging real world problems in computing science or engineering. It will also be of interest to researchers and students in life sciences who are interested in finding out how information science and intelligent information processing methods can be applied to their domains.

Table of contents (14 chapters)

Table of contents (14 chapters)
  • Evolving Processes and Evolving Connectionist Systems

    Pages 7-30

    Kasabov, Nikola, PhD, MSc, FRSNZ

  • Evolving Connectionist Systems for Unsupervised Learning

    Pages 31-56

    Kasabov, Nikola, PhD, MSc, FRSNZ

  • Evolving Connectionist Systems for Supervised Learning

    Pages 57-89

    Kasabov, Nikola, PhD, MSc, FRSNZ

  • Recurrent Evolving Systems, Reinforcement Learning and Evolving Automata

    Pages 91-98

    Kasabov, Nikola, PhD, MSc, FRSNZ

  • Evolving Neuro-Fuzzy Inference Systems

    Pages 99-123

    Kasabov, Nikola, PhD, MSc, FRSNZ

Buy this book

eBook $74.99
price for USA in USD
  • ISBN 978-1-4471-3740-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
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Bibliographic Information

Bibliographic Information
Book Title
Evolving Connectionist Systems
Book Subtitle
Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines
Authors
Series Title
Perspectives in Neural Computing
Copyright
2003
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-4471-3740-5
DOI
10.1007/978-1-4471-3740-5
Series ISSN
1431-6854
Edition Number
1
Number of Pages
XII, 307
Topics