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9781852334000

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

by
  • ISBN13:

    9781852334000

  • ISBN10:

    1852334002

  • Format: Paperback
  • Copyright: 2003-02-01
  • Publisher: Springer Verlag
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Summary

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

Prologue 1(6)
Part I Evolving Connectionist Systems: Methods and Techniques
Evolving Processes and Evolving Connectionist Systems
7(24)
Evolving Processes
7(5)
Working Classification Scheme for Learning in Connectionist Systems
12(13)
Artificial Intelligence (AI) Versus Emerging Intelligence (EI)
25(1)
Introduction to Evolving Connectionist Systems
26(2)
Summary and Open Problems
28(1)
Further Reading
29(2)
Evolving Connectionist Systems for Unsupervised Learning
31(26)
On-Line Unsupervised Learning - General Principles
31(8)
ECOS for On-Line Clustering
39(10)
Self-Organising Maps -- SOMs
49(3)
Evolving Self-Organising Maps (ESOM)
52(3)
Summary and Open Problems
55(1)
Further Reading
55(2)
Evolving Connectionist Systems for Supervised Learning
57(34)
Principles and Architectures of Connectionist Systems for On-Line Supervised Learning
57(8)
Evolving Fuzzy Neural Networks -- EFuNN
65(10)
Knowledge Manipulation in Evolving Fuzzy Neural Networks (EFuNNs) - Rule Insertion, Rule Extraction, Rule Aggregation
75(10)
On-Line Evaluation, Feature Modification and Parameter Adaptation in EFuNNs
85(3)
Summary and Open Questions
88(1)
Further Reading
88(3)
Recurrent Evolving Systems, Reinforcement Learning and Evolving Automata
91(8)
Recurrent Evolving Connectionist Systems
91(4)
Evolving Connectionist Systems and Evolving Automata
95(1)
Reinforcement Learning in ECOS
96(1)
Summary and Open Questions
97(1)
Further Reading
98(1)
Evolving Neuro-Fuzzy Inference Systems
99(26)
Different Types of Rules and Inference in Knowledge-Based Neural Networks
99(5)
Hybrid Neuro-Fuzzy Inference Systems -- HyFIS
104(3)
Dynamic Evolving Neuro-Fuzzy Inference Systems -- DENFIS
107(9)
Different Types of Fuzzy Rules in ECOS
116(2)
Type-2 Evolving Connectionist Systems
118(2)
Interval-Based Evolving Connectionist Systems and Other Ways of Defining Receptive Fields
120(3)
Summary and Open Problems
123(1)
Further Reading
123(2)
Evolutionary Computation and Evolving Connectionist Systems
125(18)
Evolutionary Computation - a Brief Introduction
125(6)
Evolutionary Computation (EC) for the Optimisation of Off-Line Learning Connectionist Systems
131(3)
Evolutionary Computation for the Optimisation of On-Line Learning Systems
134(6)
Summary and Open Problems
140(1)
Further Reading
140(3)
Evolving Connectionist Machines -- Framework, Biological Motivation and Implementation Issues
143(22)
A framework for evolving connectionist machines
143(5)
Biological Motivation for ECOS -- the ``Instinct'' for Information
148(2)
Spatial and Temporal Complexity of ECOS
150(1)
On-Line Feature Selection and Feature Evaluation
151(5)
An Agent-Based Framework for Evolving Connectionist Machines
156(2)
Evolving Hardware
158(2)
Conclusion and Open Questions
160(1)
Further Reading
160(5)
Part II Evolving Connectionist Systems: Applications in Bioinformatics, Brain Study, and Intelligent Systems
Data Analysis, Modelling and Knowledge Discovery in Bioinformatics
165(28)
Bioinformatics - an Area of Information Growth and Emergence of Knowledge
165(5)
Dynamic DNA and RNA Sequence Data Analysis and Knowledge Discovery
170(4)
Gene Expression Data Analysis, Rule Extraction and Disease Profiling
174(10)
Fuzzy Evolving Clustering of Genes According to Their Time-Course Expression
184(2)
Protein Structure Prediction
186(3)
Dynamic Cell Modelling
189(2)
Summary and Open Problems
191(1)
Further Reading
191(2)
Dynamic Modelling of Brain Functions and Cognitive Processes
193(16)
Evolving Structure of the Brain and Evolving Cognition
193(4)
Dynamic Modelling of Brain States Based on EEG Signals
197(3)
Dynamic Modelling of Cognitive Processes Based on Brain Imaging
200(2)
Modelling Perception - the Auditory System
202(2)
Dynamic Modelling of Integrated Auditory and Visual Systems
204(2)
Computational Models of the Entire Brain
206(1)
Summary and Open Problems
207(1)
Further Reading
208(1)
Modelling the Emergence of Acoustic Segments (Phonemes) in Spoken Languages
209(20)
Introduction to the Issues of Learning Spoken Languages
209(2)
The Dilemma of ``Innateness Versus Learning'' or ``Nature Versus Nurture'' Revisited
211(2)
ECOS for Modelling the Emergence of Phones and Phonemes
213(8)
Modelling Evolving Bilingual Systems
221(4)
Summary and Open Problems
225(2)
Further Reading
227(2)
On-Line Adaptive Speech Recognition
229(16)
Introduction to Adaptive Speech Recognition Problems
229(3)
A Framework of Evolving Connectionist Systems for Adaptive Speech Recognition
232(1)
On-Line Adaptive Phoneme-Based Speech Recognition
233(4)
On-Line Adaptive Whole Word and Phrases Recognition
237(3)
Feature Selection and Feature Evaluation for On-Line Adaptive Speech Recognition Systems
240(2)
Natural Language Understanding for Adaptive Intelligent Human Computer Interfaces
242(1)
Summary and Open Problems
243(1)
Further Reading
243(2)
On-Line Image and Video Data Processing
245(12)
On-Line Colour Quantisation
245(3)
On-Line Image Classification
248(3)
On-Line Video Camera Operation Recognition
251(4)
Summary and Open Problems
255(1)
Further Reading
256(1)
Evolving Systems for Integrated Multi-Modal Information Processing
257(16)
Multi-Modal Information Processing
257(1)
AVIS: a Framework for Integrated Auditory and Visual Information Processing Systems
258(2)
PIAVI -- an Experimental Evolving System for Person Identification Based on Integrated Auditory and Visual Information Processing
260(10)
Summary and Open Problems
270(1)
Further Reading
271(2)
Epilogue 273(2)
References 275(16)
Extended Glossary 291(14)
Index 305

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