Soft Computing Techniques And Applications In Financial Engineering: Soft Computing Techniques And Applications In Financial Engineering - Couverture souple

Jilani, Tahseen

 
9783838372044: Soft Computing Techniques And Applications In Financial Engineering: Soft Computing Techniques And Applications In Financial Engineering
Couverture souple
ISBN 10 : 3838372042 ISBN 13 : 9783838372044
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Dr. 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 interests include machine learning, data mining, natural language processing, statistics and health informatics.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838372042
ISBN 13 
9783838372044
Reliure
Broché
Nombre de pages
132
Coordonnées du fabricant
non disponible
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