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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The economy, defined as a set of economic activities, can be described as a network, having as links companies, banks, public entities, educational institutions, non-governmental organizations, etc. The nodes formed by all these units are connected by the relationships formed and the transactions between them, forming a complex adaptive network. A complete estimate of the effects of cybernetics and control systems engineering on the economy would be premature, if not impossible, at this time. The explosive development of human society in relation to the limited nature of the resources available to mankind has led to the successful application of mathematical models in the process of making optimal decisions to use available resources. However, whether we are analyzing an economic, political, medical or educational system, cybernetics as an interdisciplinary science plays a fundamental role in understanding the behavior of these systems and in their analysis.…

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: NICA IonutIonut NICA (b. May 2, 1992) is a PhD in Cybernetics and Economic Statistics and an assistant professor at the Faculty of Cybernetics, Statistics and Informatics Economics. He works in the bank as a Basel Expert in the depar.…

Hardcover. Etat : new. Hardcover. This Special Issue, "Advanced Methods for Time Series Forecasting", focuses on recent methodological and applied advances that address the complex modern time series data. As forecasting has been increasingly used in decision-making in various research-related fields such as, but not limited to energy systems, finance, transportation, smart infrastructure, environmental modeling, and management science, the need for models that can capture nonlinear dynamics, long-term dependencies, multiscale patterns, and uncertainty is real and actual.The Special Issue provides an innovative approach to the issues associated with the time series forecasting, spanning artificial intelligence, deep learning, hybrid statistical-machine learning models, attention mechanisms, transformer-based architectures, state-space formulations, and signal decomposition techniques. Contributions featured in the Special Issue include theoretical developments, as well as empirical studies, comparative evaluations, and domain-driven applications which have the role to demonstrate the extent to which the advanced forecasting methods outperform traditional techniques in challenging real-world settings. By bridging together various perspectives and real-life application contexts, this Special Issue aims to provide an overview of current trends, as well as to offer practical solutions, and future research directions in advanced time series forecasting. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: NICA IonutIonut NICA, PhD in Cybernetics & Economic Statistics and an Assistant Professor at the Faculty of Cybernetics, Statistics & Informatics Economics. He works in the bank as a Senior Internal Auditor - Specialist in Modeling, .…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Popescu Bianca IoanaBianca Ioana Popescu is currently Business Management Advisor at IBM Romania with a PhD in Economic Cybernetics. Has as interests the study of complex adaptive systems, business analysis and macroeconomics. Acts a.…

Hardcover. Etat : new. Hardcover. This Special Issue, "Advanced Methods for Time Series Forecasting", focuses on recent methodological and applied advances that address the complex modern time series data. As forecasting has been increasingly used in decision-making in various research-related fields such as, but not limited to energy systems, finance, transportation, smart infrastructure, environmental modeling, and management science, the need for models that can capture nonlinear dynamics, long-term dependencies, multiscale patterns, and uncertainty is real and actual.The Special Issue provides an innovative approach to the issues associated with the time series forecasting, spanning artificial intelligence, deep learning, hybrid statistical-machine learning models, attention mechanisms, transformer-based architectures, state-space formulations, and signal decomposition techniques. Contributions featured in the Special Issue include theoretical developments, as well as empirical studies, comparative evaluations, and domain-driven applications which have the role to demonstrate the extent to which the advanced forecasting methods outperform traditional techniques in challenging real-world settings. By bridging together various perspectives and real-life application contexts, this Special Issue aims to provide an overview of current trends, as well as to offer practical solutions, and future research directions in advanced time series forecasting. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Special Issue, 'Advanced Methods for Time Series Forecasting', focuses on recent methodological and applied advances that address the complex modern time series data. As forecasting has been increasingly used in decision-making in various research-related fields such as, but not limited to energy systems, finance, transportation, smart infrastructure, environmental modeling, and management science, the need for models that can capture nonlinear dynamics, long-term dependencies, multiscale patterns, and uncertainty is real and actual.The Special Issue provides an innovative approach to the issues associated with the time series forecasting, spanning artificial intelligence, deep learning, hybrid statistical-machine learning models, attention mechanisms, transformer-based architectures, state-space formulations, and signal decomposition techniques. Contributions featured in the Special Issue include theoretical developments, as well as empirical studies, comparative evaluations, and domain-driven applications which have the role to demonstrate the extent to which the advanced forecasting methods outperform traditional techniques in challenging real-world settings. By bridging together various perspectives and real-life application contexts, this Special Issue aims to provide an overview of current trends, as well as to offer practical solutions, and future research directions in advanced time series forecasting.…

Buch. Etat : Neu. Advanced Methods for Time Series Forecasting | Buch | Englisch | 2026 | MDPI AG | EAN 9783725869404 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A economia, definida como um conjunto de atividades econômicas, pode ser descrita como uma rede, tendo como vínculos empresas, bancos, entidades públicas, instituições educacionais, organizações não governamentais, etc. Os nós formados por todas estas unidades estão conectados pelas relações formadas e pelas transações entre elas, formando uma complexa rede adaptativa. Uma estimativa completa dos efeitos da cibernética e da engenharia de sistemas de controle sobre a economia seria prematura, se não impossível, neste momento. O desenvolvimento explosivo da sociedade humana em relação à natureza limitada dos recursos disponíveis para a humanidade levou à aplicação bem sucedida de modelos matemáticos no processo de tomada de decisões otimizadas para a utilização dos recursos disponíveis. Contudo, quer estejamos a analisar um sistema económico, político, médico ou educativo, a cibernética como ciência interdisciplinar desempenha um papel fundamental na compreensão do comportamento destes sistemas e na sua análise.…