Beispielbild für diese ISBN
We have recently witnessed a phenomenal growth in the application of computational intelligence methodologies to forecasting problems in economics and finance, because of their ability to handle specific characteristics such as nonlinear relationships, behavioral changes, and knowledge based segmentation. In this volume, Chen and Wang collected not just works on traditional computational intelligence approaches like fuzzy logic, neural networks, and genetic algorithms, but also examples involving more recent technologies such as rough sets, support vector machines, wavelets, and stock market behaviors. Printed Pages: 504. Buchnummer des Verkäufers 15420
Titel: Computational Intelligence in Economics and ...
Verlag: New Age International (P) Limited
Auflage: First edition.
Buchbeschreibung Berlin, Springer, 2010., 2010. Advanced Information Processing. 130 figs., 80 tabs., XXII, 480 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Artikel-Nr. 9721DB
Buchbeschreibung Springer-Verlag Gmbh Jul 2007, 2007. Buch. Buchzustand: Neu. 242x164x20 mm. Neuware - Readers will find, in this highly relevant and groundbreaking book, research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results. 227 pp. Englisch. Artikel-Nr. 9783540728207
Buchbeschreibung Springer-Verlag Gmbh Sep 2003, 2003. Buch. Buchzustand: Neu. 246x155x25 mm. Neuware - Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of the application of computational intelligence methodologies in this field. In this volume, Chen and Wang collected not just works on traditional computational intelligence approaches like fuzzy logic, neural networks, and genetic algorithms, but also examples for more recent technologies like e.g. rough sets, support vector machines, wavelets, or ant algorithms. After an introductory chapter with a structural description of all the methodologies, the subsequent parts describe novel applications of these to typical economics and finance problems like business forecasting, currency crisis discrimination, foreign exchange markets, or stock markets behavior. 480 pp. Englisch. Artikel-Nr. 9783540440987