Computational Intelligence in Economics and Finance: Volume II, 2. sējums
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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An Overview of Insurance Uses of Fuzzy Logic
Forecasting Agricultural Commodity Prices using Hybrid Neural Networks
Nonlinear Principal Component Analysis for Withdrawal from the Employment Time Guarantee Fund
An Application of Kohonens SOFM to the Management of Benchmarking Policies
Trading Strategies Based on Kmeans Clustering and Regression Models
Comparison of InstanceBased Techniques for Learning to Predict Changes in Stock Prices
Application of an Instance Based Learning Algorithm for Predicting the Stock Market Index
Evaluating the Efﬁciency of Index Fund Selections Over the Funds Future Period
Distinguishing between Efﬁcient Markets and Inefﬁcient Algorithms
Nonlinear GoalDirected CPPI Strategy
A LogicalHeuristic Approach
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Computational Intelligence in Economics and Finance, 2. sējums
Paul P. Wang,Tzu-Wen Kuo
Priekšskatījums nav pieejams - 2010