Applied Intelligent Systems: New Directions

Author:   John Fulcher ,  Prof. Lakhmi C. Jain
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of hardcover 1st ed. 2004
Volume:   153
ISBN:  

9783642059421


Pages:   325
Publication Date:   07 December 2010
Format:   Paperback
Availability:   Out of stock   Availability explained
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Applied Intelligent Systems: New Directions


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Overview

This carefully edited book presents examples of the successful application of Intelligent Systems techniques to practical problems. The invited contributions, written by international experts in their respective fields, clearly demonstrate what can be achieved when AI systems are used to solve real-world problems. The book covers the field of applied intelligent systems with a broad and deep selection of topics, such as object recognition, robotics, satellite weather prediction, or economics with an industrial focus. This book will be of interest to researchers interested in applied intelligent systems/AI, as well as to engineers and programmers in industry.

Full Product Details

Author:   John Fulcher ,  Prof. Lakhmi C. Jain
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of hardcover 1st ed. 2004
Volume:   153
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.583kg
ISBN:  

9783642059421


ISBN 10:   3642059422
Pages:   325
Publication Date:   07 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

1 Adaptive Technical Analysis in the Financial Markets Using Machine Learning: a Statistical View.- 1.1 ‘Technical Analysis’ in Finance: a Brief Background.- 1.2 The ‘Moving Windows’ Paradigm.- 1.3 Post-Hoc Performance Assessment.- 1.4 Genetic programming.- 1.5 Support-Vector Machines.- 1.6 Neural Networks.- 1.7 Discussion.- References.- 2 Higher Order Neural Networks for Satellite Weather Prediction.- 2.1 Introduction.- 2.2 Higher Order Neural Networks.- 2.3 Artificial Neural Network Groups.- 2.4 Weather Forecasting & ANNs.- 2.5 HONN Models for Half-hour Rainfall Prediction.- 2.6 ANSER System for Rainfall Estimation.- 2.7 Summary.- 3 Independent Component Analysis.- 3.1 Introduction.- 3.2 Independent Component Analysis Methods.- 3.3 Applications of ICA.- 3.4 Open Problems for ICA Research.- 3.5 Summary.- References.- Appendix — Selected ICA Resources.- 4 Regulatory Applications of Artificial Intelligence.- 4.1 Introduction.- 4.2 Solution Spaces, Data and Mining.- 4.3 Artificial Intelligence in Context.- 4.4 Anomaly Detection: ANNs for Prediction/Classification.- 4.5 Formulating Expert Systems to Identify Common Events of Interest.- A Note on the Software.- Acknowledgements.- References.- 5 An Introduction to Collective Intelligence.- 5.1 Collective Intelligence.- 5.2 The Power of Collective Action.- 5.3 Optimisation.- 5.4 Ant Colony Optimisation.- 5.5 Particle Swarm Optimisation.- References.- 6 Where are all the Mobile Robots?.- 6.1 Introduction.- 6.2 Commercial Applications.- 6.3 Research Directions.- 6.4 Conclusion.- A Note on the Figures.- References.- 7 Building Intelligent Legal Decision Support Systems: Past Practice and Future Challenges.- 7.1 Introduction.- 7.2 Jurisprudential Principles for Developing Intelligent Legal Knowledge-Based Systems.- 7.3Early Legal Decision Support Systems.- 7.4 Legal Decision Support on the World Wide Web.- 7.5 Conclusion.- Acknowledgements.- References.- 8 Forming Human-Agent Teams within Hostile Environments.- 8.1 Introduction.- 8.2 Background.- 8.3 Cognitive Engineering.- 8.4 Research Challenge.- 8.5 The Research Environment.- 8.6 The Research Application.- 8.7 Demonstration System.- 8.8 Conclusions.- Acknowledgements.- References.- 9 Fuzzy Multivariate Auto-Regression Method and its Application.- 9.1 Introduction.- 9.2 Fuzzy Data Analysis.- 9.3 Fuzzy Multivariate Auto-Regression Algorithm.- 9.4 Experimental Results.- 9.5 Conclusions.- References.- 10 Selective Attention Adaptive Resonance theory and Object Recognition.- 10.1 Introduction.- 10.2 Adaptive Resonance Theory (ART).- 10.3 Selective Attention Adaptive Resonance Theory.- 10.4 Conclusions.- References.

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