Ebook: Do Smart Adaptive Systems Exist?: Best Practice for Selection and Combination of Intelligent Methods
- Tags: Numerical and Computational Methods in Engineering, Artificial Intelligence (incl. Robotics), Complexity, Operations Research/Decision Theory, Applications of Mathematics
- Series: Studies in Fuzziness and Soft Computing 173
- Year: 2005
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
This book is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence.
It is therefore not intended as a collection of the most recent research results but a practical guide for experts from other areas and industrial users who are interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions.
Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.
An integration of these communities has been one of the main goals of the European Network of Excellence on Smart Adaptive Systems (EUNITE) within which the idea of compiling such a volume has originated. Over three years of various EUNITE activities focusing on issues of adaptation and intelligent behaviour of computing and engineering systems has also led to posing the question which is the title of this book: Do smart adaptive systems exist?
This book is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence.
It is therefore not intended as a collection of the most recent research results but a practical guide for experts from other areas and industrial users who are interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions.
Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.
An integration of these communities has been one of the main goals of the European Network of Excellence on Smart Adaptive Systems (EUNITE) within which the idea of compiling such a volume has originated. Over three years of various EUNITE activities focusing on issues of adaptation and intelligent behaviour of computing and engineering systems has also led to posing the question which is the title of this book: Do smart adaptive systems exist?
This book is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence.
It is therefore not intended as a collection of the most recent research results but a practical guide for experts from other areas and industrial users who are interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions.
Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.
An integration of these communities has been one of the main goals of the European Network of Excellence on Smart Adaptive Systems (EUNITE) within which the idea of compiling such a volume has originated. Over three years of various EUNITE activities focusing on issues of adaptation and intelligent behaviour of computing and engineering systems has also led to posing the question which is the title of this book: Do smart adaptive systems exist?
Content:
Front Matter....Pages I-X
Do Smart Adaptive Systems Exist? — Introduction....Pages 1-17
Problem Definition — From Applications to Methods....Pages 19-26
Data Preparation and Preprocessing....Pages 27-53
Front Matter....Pages 55-55
Artificial Neural Networks....Pages 57-79
Machine Learning and Reinforcement Learning....Pages 81-104
Fuzzy Expert Systems....Pages 105-132
Learning Algorithms for Neuro-Fuzzy Systems....Pages 133-158
Hybrid Intelligent Systems: Evolving Intelligence in Hierarchical Layers....Pages 159-179
Evolving Connectionist Systems with Evolutionary Self-Optimisatio....Pages 181-202
Front Matter....Pages 203-203
Monitoring....Pages 205-232
Examples of Smart Adaptive Systems in Model-Based Diagnosis....Pages 233-249
Design of Adaptive Fuzzy Controllers....Pages 251-265
Optimal Design Synthesis of Component-Based Systems Using Intelligent Techniques....Pages 267-283
Intelligent Methods in Finance Applications: From Questions to Solutions....Pages 285-303
Neuro-Fuzzy Systems for Explaining Data Sets....Pages 305-319
Fuzzy Linguistic Data Summaries as a Human Consistent, User Adaptable Solution to Data Mining....Pages 321-340
Adaptive Multimedia Retrieval: From Data to User Interaction....Pages 341-370
This book is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence.
It is therefore not intended as a collection of the most recent research results but a practical guide for experts from other areas and industrial users who are interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions.
Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.
An integration of these communities has been one of the main goals of the European Network of Excellence on Smart Adaptive Systems (EUNITE) within which the idea of compiling such a volume has originated. Over three years of various EUNITE activities focusing on issues of adaptation and intelligent behaviour of computing and engineering systems has also led to posing the question which is the title of this book: Do smart adaptive systems exist?
Content:
Front Matter....Pages I-X
Do Smart Adaptive Systems Exist? — Introduction....Pages 1-17
Problem Definition — From Applications to Methods....Pages 19-26
Data Preparation and Preprocessing....Pages 27-53
Front Matter....Pages 55-55
Artificial Neural Networks....Pages 57-79
Machine Learning and Reinforcement Learning....Pages 81-104
Fuzzy Expert Systems....Pages 105-132
Learning Algorithms for Neuro-Fuzzy Systems....Pages 133-158
Hybrid Intelligent Systems: Evolving Intelligence in Hierarchical Layers....Pages 159-179
Evolving Connectionist Systems with Evolutionary Self-Optimisatio....Pages 181-202
Front Matter....Pages 203-203
Monitoring....Pages 205-232
Examples of Smart Adaptive Systems in Model-Based Diagnosis....Pages 233-249
Design of Adaptive Fuzzy Controllers....Pages 251-265
Optimal Design Synthesis of Component-Based Systems Using Intelligent Techniques....Pages 267-283
Intelligent Methods in Finance Applications: From Questions to Solutions....Pages 285-303
Neuro-Fuzzy Systems for Explaining Data Sets....Pages 305-319
Fuzzy Linguistic Data Summaries as a Human Consistent, User Adaptable Solution to Data Mining....Pages 321-340
Adaptive Multimedia Retrieval: From Data to User Interaction....Pages 341-370
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