Intelligent Systems And Financial Forecasting

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Intelligent Systems and Financial Forecasting

Author : Jason Kingdon
Publisher : Springer Science & Business Media
ISBN 13 : 144710949X
Total Pages : 233 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Intelligent Systems and Financial Forecasting by : Jason Kingdon

Download or read book Intelligent Systems and Financial Forecasting written by Jason Kingdon and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fundamental objective of Artificial Intelligence (AI) is the creation of in telligent computer programs. In more modest terms AI is simply con cerned with expanding the repertoire of computer applications into new domains and to new levels of efficiency. The motivation for this effort comes from many sources. At a practical level there is always a demand for achieving things in more efficient ways. Equally, there is the technical challenge of building programs that allow a machine to do something a machine has never done before. Both of these desires are contained within AI and both provide the inspirational force behind its development. In terms of satisfying both of these desires there can be no better example than machine learning. Machines that can learn have an in-built effi ciency. The same software can be applied in many applications and in many circumstances. The machine can adapt its behaviour so as to meet the demands of new, or changing, environments without the need for costly re-programming. In addition, a machine that can learn can be ap plied in new domains with the genuine potential for innovation. In this sense a machine that can learn can be applied in areas where little is known about possible causal relationships, and even in circumstances where causal relationships are judged not to exist. This last aspect is of major significance when considering machine learning as applied to fi nancial forecasting.

Hybrid Artificial Intelligent Systems, Part I

Author : Manuel Grana Romay
Publisher : Springer
ISBN 13 : 3642137695
Total Pages : 606 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Hybrid Artificial Intelligent Systems, Part I by : Manuel Grana Romay

Download or read book Hybrid Artificial Intelligent Systems, Part I written by Manuel Grana Romay and published by Springer. This book was released on 2010-06-14 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: th The 5 International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) has become a unique, established and broad interdisciplinary forum for researchers and practitioners who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Overcoming the rigid encasing imposed by the arising orthodoxy in the field of arti- cial intelligence, which has led to the partition of researchers into so-called areas or fields, interest in hybrid intelligent systems is growing because they give freedom to design innovative solutions to the ever-increasing complexities of real-world pr- lems. Noise and uncertainty call for probabilistic (often Bayesian) methods, while the huge amount of data in some cases asks for fast heuristic (in the sense of suboptimal and ad-hoc) algorithms able to give answers in acceptable time frames. High dim- sionality demands linear and non-linear dimensionality reduction and feature extr- tion algorithms, while the imprecision and vagueness call for fuzzy reasoning and linguistic variable formalization. Nothing impedes real-life problems to mix diffic- ties, presenting huge quantities of noisy, vague and high-dimensional data; therefore, the design of solutions must be able to resort to any tool of the trade to attack the problem. Combining diverse paradigms poses challenging problems of computational and methodological interfacing of several previously incompatible approaches. This is, thus, the setting of HAIS conference series, and its increasing success is the proof of the vitality of this exciting field.

Hybrid Artificial Intelligent Systems, Part I

Author : Manuel Grana Romay
Publisher : Springer Science & Business Media
ISBN 13 : 3642137687
Total Pages : 634 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Hybrid Artificial Intelligent Systems, Part I by : Manuel Grana Romay

Download or read book Hybrid Artificial Intelligent Systems, Part I written by Manuel Grana Romay and published by Springer Science & Business Media. This book was released on 2010-06-11 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, held in San Sebastian, Spain, in June 2010.

Intelligent Systems for Finance and Business

Author : Suran Goonatilake
Publisher :
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Intelligent Systems for Finance and Business by : Suran Goonatilake

Download or read book Intelligent Systems for Finance and Business written by Suran Goonatilake and published by . This book was released on 1995 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Systems for Finance and Business Edited by Suran Goonatilake and Philip Treleaven A new generation of computing methods, commonly known as ‘intelligent systems’ are now beginning to be successfully applied in a variety of business and financial modelling tasks, and in many cases are outperforming traditional statistical techniques. Intelligent Systems for Finance and Business provides comprehensive coverage of the latest intelligent systems including genetic algorithms, neural networks, fuzzy logic, expert systems, rule induction, genetic programming, case based reasoning and intelligent hybrid systems. The authors clearly illustrate theories with practical case studies drawn from a wide variety of business sectors such as: • credit evaluation • direct marketing • insider dealing detection • insurance fraud detection • insurance claims processing • financial trading • portfolio management • economic modelling Written by leading professionals from the US, Europe and Asia who have developed intelligent systems to tackle some of the most challenging problems in finance and business, this book will be a valuable source of information for traders, analysts, researchers and computing personnel in investment banking, retailing, marketing, financial services, insurance and regulation.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Author : El Bachir Boukherouaa
Publisher : International Monetary Fund
ISBN 13 : 1589063953
Total Pages : 35 pages
Book Rating : 4.5/5 (89 download)

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Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa

Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Technological Advancements in Data Processing for Next Generation Intelligent Systems

Author : Sharma, Shanu
Publisher : IGI Global
ISBN 13 :
Total Pages : 380 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Technological Advancements in Data Processing for Next Generation Intelligent Systems by : Sharma, Shanu

Download or read book Technological Advancements in Data Processing for Next Generation Intelligent Systems written by Sharma, Shanu and published by IGI Global. This book was released on 2024-03-18 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation intelligent systems in the context of the digital transformation era. This comprehensive book delves into the role data plays as a critical asset for organizations across diverse industries, and how recent technological breakthroughs have unlocked unprecedented potential for handling vast data volumes and real-time analysis. The book begins by providing a thorough overview of novel technologies such as artificial intelligence (AI) or machine learning (ML), edge computing, federated learning, quantum computing, and more. These revolutionary technologies, when integrated with big data frameworks, in-memory computing, and AI/ML algorithms, have transformed data processing capabilities, enabling the creation of intelligent systems that fuel innovation, optimize operations, and deliver personalized experiences. The ultimate aim of this integration is to empower devices with the ability to make autonomous intelligent decisions, maximizing computing power. This book serves as a valuable resource for research scholars, academicians, and industry professionals working towards the future advancement of optimized intelligent systems and intelligent data processing approaches. The chapters encompass a wide range of topics, including architecture and frameworks for intelligent systems, applications in diverse domains, cloud-based solutions, quantum processing, federated learning, in-memory data processing, real-time stream processing, trustworthy AI for Internet of Things (IoT) sensory data, and more.

Intelligent Systems and Applications

Author : Yaxin Bi
Publisher : Springer
ISBN 13 : 3319333860
Total Pages : 453 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Intelligent Systems and Applications by : Yaxin Bi

Download or read book Intelligent Systems and Applications written by Yaxin Bi and published by Springer. This book was released on 2016-06-30 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a remarkable collection of chapters covering a wider range of topics, including unsupervised text mining, anomaly and Intrusion Detection, Self-reconfiguring Robotics, application of Fuzzy Logic to development aid, Design and Optimization, Context-Aware Reasoning, DNA Sequence Assembly and Multilayer Perceptron Networks. The twenty-one chapters present extended results from the SAI Intelligent Systems Conference (IntelliSys) 2015 and have been selected based on high recommendations during IntelliSys 2015 review process. This book presents innovative research and development carried out presently in fields of knowledge representation and reasoning, machine learning, and particularly in intelligent systems in a more broad sense. It provides state - of - the - art intelligent methods and techniques for solving real world problems along with a vision of the future research.

Business Intelligence in Economic Forecasting: Technologies and Techniques

Author : Wang, Jue
Publisher : IGI Global
ISBN 13 : 1615206302
Total Pages : 406 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Business Intelligence in Economic Forecasting: Technologies and Techniques by : Wang, Jue

Download or read book Business Intelligence in Economic Forecasting: Technologies and Techniques written by Wang, Jue and published by IGI Global. This book was released on 2010-06-30 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid development of economic globalization and information technology, the field of economic forecasting continues its expeditious advancement, providing business and government with applicable technologies. This book discusses various business intelligence techniques including neural networks, support vector machine, genetic programming, clustering analysis, TEI@I, fuzzy systems, text mining, and many more. It serves as a valuable reference for professionals and researchers interested in BI technologies and their practical applications in economic forecasting, as well as policy makers in business organizations and governments.

Hybrid Artificial Intelligent Systems, Part II

Author : Manuel Grana Romay
Publisher : Springer Science & Business Media
ISBN 13 : 3642138020
Total Pages : 556 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Hybrid Artificial Intelligent Systems, Part II by : Manuel Grana Romay

Download or read book Hybrid Artificial Intelligent Systems, Part II written by Manuel Grana Romay and published by Springer Science & Business Media. This book was released on 2010-06-11 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, held in San Sebastian, Spain, in June 2010.

Quantum Finance

Author : Raymond S. T. Lee
Publisher : Springer Nature
ISBN 13 : 9813297964
Total Pages : 433 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Quantum Finance by : Raymond S. T. Lee

Download or read book Quantum Finance written by Raymond S. T. Lee and published by Springer Nature. This book was released on 2019-11-15 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the exponential growth of program trading in the global financial industry, quantum finance and its underlying technologies have become one of the hottest topics in the fintech community. Numerous financial institutions and fund houses around the world require computer professionals with a basic understanding of quantum finance to develop intelligent financial systems. This book presents a selection of the author’s past 15 years’ R&D work and practical implementation of the Quantum Finance Forecast System – which integrates quantum field theory and related AI technologies to design and develop intelligent global financial forecast and quantum trading systems. The book consists of two parts: Part I discusses the basic concepts and theories of quantum finance and related AI technologies, including quantum field theory, quantum price fields, quantum price level modelling and quantum entanglement to predict major financial events. Part II then examines the current, ongoing R&D projects on the application of quantum finance technologies in intelligent real-time financial prediction and quantum trading systems. This book is both a textbook for undergraduate & masters level quantum finance, AI and fintech courses and a valuable resource for researchers and data scientists working in the field of quantum finance and intelligent financial systems. It is also of interest to professional traders/ quants & independent investors who would like to grasp the basic concepts and theory of quantum finance, and more importantly how to adopt this fascinating technology to implement intelligent financial forecast and quantum trading systems. For system implementation, the interactive quantum finance programming labs listed on the Quantum Finance Forecast Centre official site (QFFC.org) enable readers to learn how to use quantum finance technologies presented in the book.

Hybrid Artificial Intelligent Systems, Part II

Author : Manuel Grana Romay
Publisher : Springer
ISBN 13 : 3642138039
Total Pages : 570 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Hybrid Artificial Intelligent Systems, Part II by : Manuel Grana Romay

Download or read book Hybrid Artificial Intelligent Systems, Part II written by Manuel Grana Romay and published by Springer. This book was released on 2010-06-14 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: th The 5 International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) has become a unique, established and broad interdisciplinary forum for researchers and practitioners who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Overcoming the rigid encasing imposed by the arising orthodoxy in the field of arti- cial intelligence, which has led to the partition of researchers into so-called areas or fields, interest in hybrid intelligent systems is growing because they give freedom to design innovative solutions to the ever-increasing complexities of real-world pr- lems. Noise and uncertainty call for probabilistic (often Bayesian) methods, while the huge amount of data in some cases asks for fast heuristic (in the sense of suboptimal and ad-hoc) algorithms able to give answers in acceptable time frames. High dim- sionality demands linear and non-linear dimensionality reduction and feature extr- tion algorithms, while the imprecision and vagueness call for fuzzy reasoning and linguistic variable formalization. Nothing impedes real-life problems to mix diffic- ties, presenting huge quantities of noisy, vague and high-dimensional data; therefore, the design of solutions must be able to resort to any tool of the trade to attack the problem. Combining diverse paradigms poses challenging problems of computational and methodological interfacing of several previously incompatible approaches. This is, thus, the setting of HAIS conference series, and its increasing success is the proof of the vitality of this exciting field.

Foreign-Exchange-Rate Forecasting with Artificial Neural Networks

Author : Lean Yu
Publisher : Springer Science & Business Media
ISBN 13 : 038771720X
Total Pages : 316 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Foreign-Exchange-Rate Forecasting with Artificial Neural Networks by : Lean Yu

Download or read book Foreign-Exchange-Rate Forecasting with Artificial Neural Networks written by Lean Yu and published by Springer Science & Business Media. This book was released on 2010-02-26 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on forecasting foreign exchange rates via artificial neural networks (ANNs), creating and applying the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange rate forecasting. The result is an up-to-date review of the most recent research developments in forecasting foreign exchange rates coupled with a highly useful methodological approach to predicting rate changes in foreign currency exchanges.

Cybernetics and Mathematics Applications in Intelligent Systems

Author : Radek Silhavy
Publisher : Springer
ISBN 13 : 3319572644
Total Pages : 446 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Cybernetics and Mathematics Applications in Intelligent Systems by : Radek Silhavy

Download or read book Cybernetics and Mathematics Applications in Intelligent Systems written by Radek Silhavy and published by Springer. This book was released on 2017-04-07 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new methods for and approaches to real-world problems as well as exploratory research describing novel mathematics and cybernetics applications in intelligent systems. It focuses on modern trends in selected fields of technological systems and automation control theory. It also introduces new algorithms, methods and applications of intelligent systems in automation, technological and industrial applications. This book constitutes the refereed proceedings of the Cybernetics and Mathematics Applications in Intelligent Systems Section of the 6th Computer Science On-line Conference 2017 (CSOC 2017), held in April 2017.

Engineering of Intelligent Systems

Author : Laszlo Monostori
Publisher : Springer
ISBN 13 : 3540455175
Total Pages : 958 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Engineering of Intelligent Systems by : Laszlo Monostori

Download or read book Engineering of Intelligent Systems written by Laszlo Monostori and published by Springer. This book was released on 2003-06-29 with total page 958 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Export Systems, IEA/AIE 2001, held in Budapest, Hungary in June 2001. The 104 papers presented were carefully reviewed and selected from a total of 140 submissions. The proceedings offer topical sections on searching, knowledge representation, model-based reasoning, machine learning, data mining, soft computing, evolutionary algorithms, distributed problem solving, export systems, pattern and speech recognition, vision language processing, planning and scheduling, robotics, autonomous agents, design, control, manufacturing systems, finance and business, software engineering, and intelligent tutoring.

Intelligent Systems and Decision Making for Risk Analysis and Crisis Response

Author : Chongfu Huang
Publisher : CRC Press
ISBN 13 : 0203771478
Total Pages : 965 pages
Book Rating : 4.2/5 (37 download)

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Book Synopsis Intelligent Systems and Decision Making for Risk Analysis and Crisis Response by : Chongfu Huang

Download or read book Intelligent Systems and Decision Making for Risk Analysis and Crisis Response written by Chongfu Huang and published by CRC Press. This book was released on 2013-07-25 with total page 965 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this present internet age, risk analysis and crisis response based on information will make up a digital world full of possibilities and improvements to people‘s daily life and capabilities. These services will be supported by more intelligent systems and more effective decisionmaking. This book contains all the papers presented at the 4th Inter

Business Forecasting

Author : Michael Gilliland
Publisher : John Wiley & Sons
ISBN 13 : 1119782473
Total Pages : 435 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Business Forecasting by : Michael Gilliland

Download or read book Business Forecasting written by Michael Gilliland and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

Intelligent Systems for Knowledge Management

Author : Edward Szczerbicki
Publisher : Springer Science & Business Media
ISBN 13 : 3642041698
Total Pages : 336 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Intelligent Systems for Knowledge Management by : Edward Szczerbicki

Download or read book Intelligent Systems for Knowledge Management written by Edward Szczerbicki and published by Springer Science & Business Media. This book was released on 2009-09-30 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.