Zu dieser ISBN ist aktuell kein Angebot verfügbar.
Alle Exemplare der Ausgabe mit dieser ISBN anzeigen:Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable).
The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies.
This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Versand:
Gratis
Innerhalb der USA
Buchbeschreibung Hardcover. Zustand: new. Bestandsnummer des Verkäufers 9783642334382
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers ABLIING23Mar3113020224458
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Zustand: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Bestandsnummer des Verkäufers ria9783642334382_lsuk
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable).The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies. This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments. 412 pp. Englisch. Bestandsnummer des Verkäufers 9783642334382
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the principles and practice of Computational Intelligence in the analysis, design, and interpretation of time seriesTaking into account the synergy among neurocomputing, fuzzy sets and evolutionary optimizationWritten by leading ex. Bestandsnummer des Verkäufers 5057268
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren
Buchbeschreibung Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable).The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies. This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments. Bestandsnummer des Verkäufers 9783642334382
Weitere Informationen zu diesem Verkäufer | Verkäufer kontaktieren