Applied Intelligent Systems New Directions /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Fulcher, John (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
• Έκδοση: 1st ed. 2004.
• Σειρά: Studies in Fuzziness and Soft Computing, 153
• Θέματα: Applied mathematics.; Engineering mathematics.; Artificial intelligence.; Engineering.; Pattern recognition.; Control engineering.; Robotics.; Mechatronics.; Economic theory.; Mathematical and Computational Engineering.; Artificial Intelligence.; Engineering, general.; Pattern Recognition.; Control, Robotics, Mechatronics.; Economic Theory/Quantitative Economics/Mathematical Methods.

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-...

Πίνακας περιεχομένων:

• 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
• 7.3 Early 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.