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Titlebook: Computing Intelligence in Capital Market; Asef Yelghi,Aref Yelghi,Shirmohammad Tavangari Book 2024 The Editor(s) (if applicable) and The A

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發(fā)表于 2025-3-21 16:05:26 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computing Intelligence in Capital Market
編輯Asef Yelghi,Aref Yelghi,Shirmohammad Tavangari
視頻videohttp://file.papertrans.cn/235/234731/234731.mp4
概述Provides practical examples, comparisons, and experimental results.Presents recent research on Computational Intelligence in the Capital Market.Explains the algorithm used, the selected problem, and i
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Computing Intelligence in Capital Market;  Asef Yelghi,Aref Yelghi,Shirmohammad Tavangari Book 2024 The Editor(s) (if applicable) and The A
描述.The book is divided into sections according to the content of the chapters. The first section covers AI concepts with NP and financial issues. The second section covers AI techniques in relation to Fintech issues. The remaining sections are implementation and analysis. As science and technology development and algorithms are widely used in various fields, their influence and development have increased efficiency and productivity. The introduction of algorithms in the financial field has not been an exception to this. In recent years, the growth and development of the financial system have been in sync with the growth of technology. Fintechs were born at the intersection of these two sectors. What happens through the application of computer knowledge in the financial field, or the examination of the efficiency and effectiveness of their use and the interaction and combination of these two fields has been written very infrequently in the majority of books. In Fintech, there are problems that researchers focus on such as customer support, portfolio management, trading algorithms, fraud detection, credit risk assessment, insurance, and wealth management. The mentioned problems are com
出版日期Book 2024
關(guān)鍵詞Computational Intelligence; Financial Markets; Fintech, Risk Management; Financial Services; Werth Manag
版次1
doihttps://doi.org/10.1007/978-3-031-57708-6
isbn_softcover978-3-031-57710-9
isbn_ebook978-3-031-57708-6Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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https://doi.org/10.1007/978-3-319-01625-2y. This paper explores the intersection of AI and economics, focusing on the role of AI in driving economic growth, efficiency, and innovation. It examines how AI is being integrated into different sectors, the potential benefits and challenges it presents, and the implications for the future of work and policy considerations.
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Studies in Computational Intelligencehttp://image.papertrans.cn/c/image/234731.jpg
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Unleashing Economic Potential: Exploring the Synergy of Artificial Intelligence and Intelligent Auty. This paper explores the intersection of AI and economics, focusing on the role of AI in driving economic growth, efficiency, and innovation. It examines how AI is being integrated into different sectors, the potential benefits and challenges it presents, and the implications for the future of work and policy considerations.
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https://doi.org/10.1007/978-3-319-01625-2ining adequate liquidity. In recent years, researchers have focused on forecasting reverse fluctuation without influencing reserve factors. Interest, inflation, and exchange rate are used as finance economic variables in the estimation of economy reserves because those are influencing factors of res
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