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Economic Modeling Using Artificial Intelligence Methods (Record no. 21184)

000 -LEADER
fixed length control field 04785nam a22005175i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151112.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130403s2013 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781447150107
978-1-4471-5010-7
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
Classification number TJ210.2-211.495
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2013.
912 ## -
-- ZDB-2-SCS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Marwala, Tshilidzi.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Economic Modeling Using Artificial Intelligence Methods
Medium [electronic resource] /
Statement of responsibility, etc by Tshilidzi Marwala.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 261 p. 54 illus.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Advanced Information and Knowledge Processing,
International Standard Serial Number 1610-3947
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Foreword -- Preface -- Acknowledgements -- Introduction to Economic Modeling -- Techniques for Economic Modeling: Unlocking the Character of Data -- Automatic Relevance Determination in Economic Modeling -- Neural Approaches to Economic Modeling -- Bayesian Support Vector Machines for Economic Modeling: Application to Option Pricing -- Rough Sets Approach to Economic Modeling: Unlocking Knowledge in Financial Data -- Missing Data Approaches to Economic Modeling: Optimization Approach -- Correlations versus Causality Approaches to Economic Modeling -- Evolutionary Approaches to Computational Economics: Application to Portfolio Optimization -- Real-time Approaches to Computational Economics: Self Adaptive Economic Systems -- Multi-Agent Approaches to Economic Modeling: Game Theory, Ensembles, Evolution and the Stock Market -- Control Approaches to Economic Modeling: Application to Inflation Targeting -- Modeling Interstate Conflict: The Role of Economic Interdependency for Maintaining Peace -- Conclusions and Further Work -- Index.
520 ## - SUMMARY, ETC.
Summary, etc Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace – and vice versa – is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Optical pattern recognition.
Topical term or geographic name as entry element Mathematical statistics.
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Economics, Mathematical.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
Topical term or geographic name as entry element Game Theory/Mathematical Methods.
Topical term or geographic name as entry element Computational Intelligence.
Topical term or geographic name as entry element Computational Science and Engineering.
Topical term or geographic name as entry element Pattern Recognition.
Topical term or geographic name as entry element Statistics and Computing/Statistics Programs.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781447150091
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-5010-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-08AUM Main Library2014-04-08 2014-04-08 E-Book   AUM Main Library006.3
Languages: 
English |
العربية