soft computing financial engineering (9 résultats)

Etat : Sehr gut. 506 Seiten ex Library Book aus einer wissenschafltichen Bibliothek Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 969 23,6 x 14,5 x 3,6 cm, Gebundene Ausgabe.

Taschenbuch. Etat : Neu. Soft Computing Techniques And Applications In Financial Engineering | Soft Computing Techniques And Applications In Financial Engineering | Tahseen Jilani | Taschenbuch | 132 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838372044 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Soft Computing is an emerging approach which parallels the remarkable ability of the human brain to reason and learn in an environment of uncertainty and imprecision. It is one of the most emerging consortiums of methodologies including artificial neural networks (ANNs), fuzzy logic (FL) etc. They provide tractable, robust and lower cost solutions to the complex and gigantic real world-problems with the help of functional approximations and learning paradigms. It can also handle linguistic uncertainties, vagueness and imprecision involved in real life problems with reduced mathematical complexities. Soft computing techniques have outperformed the conventional approaches with lesser complexity, vagueness, tuning requirements and higher level of robustness, and tractability. On the other hand, most of the actuarial problems are stochastic in nature with soaring noises and variable volatilities, resulting in signals that are complicated to handle with conventional modeling and forecasting techniques. 132 pp. Englisch.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jilani TahseenDr. Jilani received his PhD with specialization soft computing and data mining in 2007. Currently, he is working as assistant professor at the Department of Computer Science, University of Karachi. His research interest.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Soft Computing is an emerging approach which parallels the remarkable ability of the human brain to reason and learn in an environment of uncertainty and imprecision. It is one of the most emerging consortiums of methodologies including artificial neural networks (ANNs), fuzzy logic (FL) etc. They provide tractable, robust and lower cost solutions to the complex and gigantic real world-problems with the help of functional approximations and learning paradigms. It can also handle linguistic uncertainties, vagueness and imprecision involved in real life problems with reduced mathematical complexities. Soft computing techniques have outperformed the conventional approaches with lesser complexity, vagueness, tuning requirements and higher level of robustness, and tractability. On the other hand, most of the actuarial problems are stochastic in nature with soaring noises and variable volatilities, resulting in signals that are complicated to handle with conventional modeling and forecasting techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Soft Computing is an emerging approach which parallels the remarkable ability of the human brain to reason and learn in an environment of uncertainty and imprecision. It is one of the most emerging consortiums of methodologies including artificial neural networks (ANNs), fuzzy logic (FL) etc. They provide tractable, robust and lower cost solutions to the complex and gigantic real world-problems with the help of functional approximations and learning paradigms. It can also handle linguistic uncertainties, vagueness and imprecision involved in real life problems with reduced mathematical complexities. Soft computing techniques have outperformed the conventional approaches with lesser complexity, vagueness, tuning requirements and higher level of robustness, and tractability. On the other hand, most of the actuarial problems are stochastic in nature with soaring noises and variable volatilities, resulting in signals that are complicated to handle with conventional modeling and forecasting techniques.