Computing Intelligence in Capital Market
暫譯: 資本市場中的計算智慧
Yelghi, Asef, Yelghi, Aref, Apan, Mehmet
- 出版商: Springer
- 出版日期: 2025-05-01
- 售價: $6,500
- 貴賓價: 9.5 折 $6,175
- 語言: 英文
- 頁數: 65
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031577108
- ISBN-13: 9783031577109
海外代購書籍(需單獨結帳)
商品描述
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 complex and are mapped to NP problems in the field of artificial intelligence. In the last two decades, optimization algorithms, neural networks, and deep learning have been widely applied in many scientific and engineering fields to solve the mentioned problems. The purpose of this book is to provide the reader with the most used artificial intelligence methods for scientific and engineering problems. This book is used by students, scientists, and practitioners in various fields. The chapters are self-explanatory, and the reader can read each one separately. They describe the algorithm used, the chosen problem, and the implementation. In addition, practical examples, comparisons, and experimental results are presented.
商品描述(中文翻譯)
本書根據章節內容分為幾個部分。第一部分涵蓋了與 NP 和金融問題相關的 AI 概念。第二部分則探討了與金融科技（Fintech）問題相關的 AI 技術。其餘部分則集中於實作和分析。隨著科學技術的發展和演算法在各個領域的廣泛應用，其影響力和發展已提高了效率和生產力。在金融領域引入演算法也不例外。近年來，金融系統的增長和發展與技術的增長保持同步。金融科技正是在這兩個領域的交匯處誕生的。透過在金融領域應用計算機知識，或檢視其使用的效率和有效性，以及這兩個領域的互動和結合，在大多數書籍中很少有相關的著作。在金融科技中，研究人員關注的問題包括客戶支持、投資組合管理、交易演算法、詐騙檢測、信用風險評估、保險和財富管理。上述問題是複雜的，並且在人工智慧領域中映射到 NP 問題。在過去的二十年中，優化演算法、神經網絡和深度學習已廣泛應用於許多科學和工程領域，以解決上述問題。本書的目的是為讀者提供最常用的人工智慧方法，以應對科學和工程問題。本書適用於各個領域的學生、科學家和實務工作者。各章節自我解釋，讀者可以單獨閱讀每一章。它們描述了所使用的演算法、所選擇的問題以及實作。此外，還提供了實際範例、比較和實驗結果。
作者簡介
Asef Yelghi was born in Iran on September 19, 1986. After graduating from Technical and Vocational College in the field of accounting, he graduated from Shahid Chamran Technical and Vocational College and Hakim Corcani Private University with a bachelor's degree in the same field. He was accepted into the stock exchange and capital market department at Marmara University in Turkey in 2012 and completed his master's degree in 2014. Additionally, he received two doctorates in the fields of banking and business, graduating in 2020 in the field of business and 2021 in the field of banking.
Aref Yelghi was born in 1986. He received his B.S. degree in Software Engineering from Mirdamad University in Iran. He also received his master's degree in computer science from the Islamic Azad University of Sari branch in Iran and his Ph.D. degree in computer engineering from Karadeniz Technical University in Turkey. His research interests include optimization, neural networks, and data mining.
Mehmet Apan was born on April 29, 1970, in Turkey. He graduated from Istanbul University, Faculty of Political Sciences, Department of Public Finance, in 1993 with a bachelor's degree. In 2002, he received two master's degrees in Social Politics from Istanbul University and Business from Sakarya University in Turkey. He also received his doctorate degree in Finance and Banking from Kadir Has University in 2013. He currently works as an associate professor at Sakarya University of Applied Sciences.
Shirmohammad Tavangari is a research scientist at the University of British Columbia in Canada. He graduated from the Sharif University of Technology in Iran and has had the privilege of working at esteemed institutions such as Stanford University, Harvard University, and the National University of Singapore. He actively contributes to the academic community as an editorial board member for a journal and a reviewer for various journals, including Elsevier, Springer, and Oxford Academic. Additionally, he participates as a technical program committee (TPC) member and reviewer in numerous IEEE conferences, totaling over 30 engagements. He had the honor of being a TED speaker at TEDx Sanabad and is a recipient of the Young Scientist Award from the INSO Awards 2022.
作者簡介(中文翻譯)
Asef Yelghi 於1986年9月19日出生於伊朗。在技術與職業學院會計專業畢業後，他從Shahid Chamran技術與職業學院和Hakim Corcani私立大學獲得同一領域的學士學位。2012年，他被土耳其馬爾馬拉大學的證券交易與資本市場系錄取，並於2014年完成碩士學位。此外，他在銀行和商業領域獲得兩個博士學位，分別於2020年在商業領域和2021年在銀行領域畢業。
Aref Yelghi 於1986年出生。他在伊朗的Mirdamad大學獲得軟體工程學士學位，並在伊朗的伊斯蘭阿茲哈大學薩里分校獲得計算機科學碩士學位，隨後在土耳其的Karadeniz技術大學獲得計算機工程博士學位。他的研究興趣包括優化、神經網絡和數據挖掘。
Mehmet Apan 於1970年4月29日出生於土耳其。他於1993年從伊斯坦堡大學政治科學學院公共財政系畢業，獲得學士學位。2002年，他在伊斯坦堡大學獲得社會政治碩士學位，並在土耳其的薩卡里亞大學獲得商業碩士學位。他於2013年在Kadir Has大學獲得金融與銀行博士學位。目前，他在薩卡里亞應用科學大學擔任副教授。
Shirmohammad Tavangari 是加拿大不列顛哥倫比亞大學的研究科學家。他畢業於伊朗的Sharif技術大學，並有幸在斯坦福大學、哈佛大學和新加坡國立大學等知名機構工作。他積極參與學術界，擔任期刊的編輯委員會成員，並為包括Elsevier、Springer和Oxford Academic在內的多個期刊擔任審稿人。此外，他還作為技術程序委員會（TPC）成員和審稿人參加了超過30場IEEE會議。他曾在TEDx Sanabad擔任TED演講者，並獲得2022年INSO獎的青年科學家獎。
