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Computational intelligence in economics and finance.
Authors: --- ---
ISBN: 3642091938 3540728201 9786610951772 128095177X 354072821X Year: 2007 Publisher: Berlin : Springer,

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Abstract

Computational intelligence (CI), as an alternative to statistical and econometric approaches, has been applied to a wide range of economics and finance problems in recent years, for example to price forecasting and market efficiency. This book contains research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results. Chen, Wang, and Kuo have grouped the 12 contributions following their introductory chapter into applications of fuzzy logic, neural networks (including self-organizing maps and support vector machines), and evolutionary computation. All chapters were selected either by invitation or based on a careful selection and extension of best papers from the International Workshop on Computational Intelligence in Economics and Finance in 2005. Overall, the book offers researchers an excellent overview of current advances and applications of computational intelligence techniques to economics and finance problems.

Keywords

Economics -- Data processing. --- Economics, Mathematical. --- Economics. --- Finance -- Data processing. --- Mechanical Engineering --- Engineering & Applied Sciences --- Business & Economics --- Economic Theory --- Computer Science --- Mechanical Engineering - General --- Information Technology --- Artificial Intelligence --- Economics --- Finance --- Data processing. --- Mathematical economics --- Mathematics --- Computer science. --- Finance. --- Artificial intelligence. --- Application software. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Finance, general. --- Computer Appl. in Administrative Data Processing. --- Information Systems Applications (incl. Internet). --- Econometrics --- Methodology --- Information systems. --- Artificial Intelligence. --- Funding --- Funds --- Currency question --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Artificial intelligence --- Financial applications. --- Data processing


Digital
Computational Intelligence in Economics and Finance : Volume II
Authors: --- ---
ISBN: 9783540728214 Year: 2007 Publisher: Berlin Heidelberg Springer-Verlag GmbH


Book
Computational Intelligence in Economics and Finance
Authors: --- --- ---
ISBN: 9783540728214 Year: 2007 Publisher: Berlin Heidelberg Springer-Verlag GmbH.

Loading...
Export citation

Choose an application

Bookmark

Abstract

Computational intelligence (CI), as an alternative to statistical and econometric approaches, has been applied to a wide range of economics and finance problems in recent years, for example to price forecasting and market efficiency. This book contains research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results. Chen, Wang, and Kuo have grouped the 12 contributions following their introductory chapter into applications of fuzzy logic, neural networks (including self-organizing maps and support vector machines), and evolutionary computation. All chapters were selected either by invitation or based on a careful selection and extension of best papers from the International Workshop on Computational Intelligence in Economics and Finance in 2005. Overall, the book offers researchers an excellent overview of current advances and applications of computational intelligence techniques to economics and finance problems.

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