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Applied Intelligent Systems: New Directions Softcover reprint of hardcover 1st ed. 2004 [Pehme köide]

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  • Formaat: Paperback / softback, 325 pages, kõrgus x laius: 235x155 mm, kaal: 583 g, XVII, 325 p., 1 Paperback / softback
  • Sari: Studies in Fuzziness and Soft Computing 153
  • Ilmumisaeg: 07-Dec-2010
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642059422
  • ISBN-13: 9783642059421
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  • Formaat: Paperback / softback, 325 pages, kõrgus x laius: 235x155 mm, kaal: 583 g, XVII, 325 p., 1 Paperback / softback
  • Sari: Studies in Fuzziness and Soft Computing 153
  • Ilmumisaeg: 07-Dec-2010
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642059422
  • ISBN-13: 9783642059421
Humans have always been hopeless at predicting the future…most people now generally agree that the margin of viability in prophecy appears to be 1 ten years. Even sophisticated research endeavours in this arena tend to go 2 off the rails after a decade or so. The computer industry has been particularly prone to bold (and often way off the mark) predictions, for example: ‘I think there is a world market for maybe five computers’ Thomas J. Watson, IBM Chairman (1943), ‘I have traveled the length and breadth of this country and talked with the best people, and I can assure you that data processing is a fad that won’t last out the year’ Prentice Hall Editor (1957), ‘There is no reason why anyone would want a computer in their home’ Ken Olsen, founder of DEC (1977) and ‘640K ought to be enough for anybody’ Bill Gates, CEO Microsoft (1981). 3 The field of Artificial Intelligence – right from its inception – has been particularly plagued by ‘bold prediction syndrome’, and often by leading practitioners who should know better. AI has received a lot of bad press 4 over the decades, and a lot of it deservedly so. How often have we groaned in despair at the latest ‘by the year-20xx, we will all have…(insert your own particular ‘hobby horse’ here – e. g.

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Springer Book Archives
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.