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  • Produktbild: Computational Intelligence in Economics and Finance
  • Produktbild: Computational Intelligence in Economics and Finance

Computational Intelligence in Economics and Finance

Aus der Reihe Advanced Information Processing

195,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.12.2010

Abbildungen

XXII, 480 p.

Herausgeber

Paul P. Wang

Verlag

Springer Berlin

Seitenzahl

480

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

756 g

Auflage

Softcover reprint of hardcover 1st edition 2004

Sprache

Englisch

ISBN

978-3-642-07902-3

Beschreibung

Portrait

PAUL P. WANG, PhD, received his doctorate from The Ohio State University and is Professor of Electrical and Computer Engineering at the Pratt School of Engineering, Duke University in Durham, North Carolina. He has published extensively in the fields of mathematical systems modeling, fuzzy logic, pattern recognition, intelligent systems, and the applications of computational intelligence methodologies to the medical and management expert systems design. His work with Masaki Togai during the 1980s led to the fabrication of the first fuzzy logic chips. Dr. Wang has been a member of the board of directors of several corporations, including Intelligent Machine, Inc. He is also the founder and CEO of the Association for Intelligent Machinery.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.12.2010

Abbildungen

XXII, 480 p.

Herausgeber

Paul P. Wang

Verlag

Springer Berlin

Seitenzahl

480

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

756 g

Auflage

Softcover reprint of hardcover 1st edition 2004

Sprache

Englisch

ISBN

978-3-642-07902-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Computational Intelligence in Economics and Finance
  • Produktbild: Computational Intelligence in Economics and Finance
  • 1. Computational Intelligence in Economics and Finance.- 2. Intelligent System to Support Judgmental Business Forecasting: the Case of Estimating Hotel Room Demand.- 3. Fuzzy Investment Analysis Using Capital Budgeting and Dynamic Programming Techniques.- 4. Rough Sets Theory and Multivariate Data Analysis in Classification Problems: a Simulation Study.- 5. Forecasting the Opening Cash Price Index in Integrating Grey Forecasting and Neural Networks: Evidence from the SGX-DT MSCI Taiwan Index Futures Contracts.- 6. A Support Vector Machine Model for Currency Crises Discrimination.- 7. Saliency Analysis of Support Vector Machines for Feature Selection in Financial Time Series Forecasting.- 8. Searching Financial Patterns with Self-organizing Maps.- 9. Effective Position of European Firms in the Face of Monetary Integration Using Kohonen’s SOFM.- 10. Financial Applications of Wavelets and Self-organizing Maps.- 11. Pattern Matching in Multidimensional Time Series.- 12. Structural Pattern Discovery in Time Series Databases.- 13. Are Efficient Markets Really Efficient?: Can Financial Econometric Tests Convince Machine-Learning People?.- 14. Nearest-Neighbour Predictions in Foreign Exchange Markets.- 15. Discovering Hidden Patterns with Genetic Programming.- 16. Numerical Solutions to a Stochastic Growth Model Based on the Evolution of a Radial Basis Network.- 17. Evolutionary Strategies vs. Neural Networks: an Inflation Forecasting Experiment.- 18. Business Failure Prediction Using Modified Ants Algorithm.- 19. Towards Automated Optimal Equity Portfolios Discovery in a Financial Knowledge Management System.- 20. White Noise Tests and Synthesis of APT Economic Factors Using TFA.- 21. Learning and Monetary Policy in a Spectral Analysis Representation.- 22. InternationalTransmission of Business Cycles: a Self-organizing Markov-Switching State-Space Model.- 23. How Information Technology Creates Business Value in the Past and in the Current Electronic Commerce (EC) Era.- Author Index.