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Other titles in the Perspectives in Neural Computing, series:

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

Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

Includes bibliographical references (p. 275-289) and index.

Table of Contents

Prologue.- Part I: Evolving Connectionist Systems: Methods and Techniques.- Evolving Processes and Evolving Connectionist Systems.- Evolving Connectionist Systems for Unsupervised Learning.- Evolving Connectionist Systems for Supervised Learning.- Recurrent Evolving Systems, Reinforcement Learning and Evolving Automata.- Evolving Neuro-Fuzzy Inference Systems.- Evolutionary Computation and Evolving Connectionist Systems.- Evolving Connectionist Machines: A Framework, Biological Motivation.- and Implementation Issues.- Part II: Evolving connectionist systems: Applications in Bioinformatics, Brain Study and Intelligent Systems.- Data Analysis, Modelling and Knowledge Discovery in Bioinformatics.- Dynamic Modelling of Brain Functions and Cognitive Processes.- Modelling the Emergence of Acoustic Segments (Phonemes) in Spoken Languages.- On-Line Adaptive Speech Recognition.- On-Line Image and Video Data Processing.- Evolving Systems for Integrated Multi-Modal Information Processing.- Epilogue.- References.- Extended Glossary.- Subject Index.

Product Details

ISBN:
9781852334000
Publisher:
Springer
Location:
London
Author:
Kasabov, Nikola K.
Author:
Kasabov, Nikola
Subject:
Programming - General
Subject:
Networking - General
Subject:
Artificial Intelligence
Subject:
Brain
Subject:
Neural Networks
Subject:
Fuzzy logic
Subject:
Neural computers
Subject:
Bioinformatics
Subject:
Artificial Intelligence - General
Subject:
Adaptive Time-Series Analysis
Subject:
Connectionist Systems
Subject:
Learning Systems
Subject:
Speech Recognition
Subject:
Intelligence (AI) & Semantics
Subject:
Computers-Reference - General
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Information storage and retrieval.
Copyright:
Edition Number:
1
Edition Description:
1st Edition.
Series:
Perspectives in Neural Computing,
Series Volume:
119
Publication Date:
January 2003
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
336
Dimensions:
9.21x6.14x.68 in. 1.00 lbs.

Related Subjects

Computers and Internet » Artificial Intelligence » Artificial Life

Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines
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Product details 336 pages Springer-Verlag Telos - English 9781852334000 Reviews:
"Synopsis" by , Includes bibliographical references (p. 275-289) and index.
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