Neural Networks in Finance: Gaining Predictive Edge in the Market
Paul D. McNelis, Fordham University
Elsevier Science, 2005
ISBN: 0-12-485967-4;
Language: English
Written for upper-level students and professionals, this text discusses the application of neural networks and genetic algorithms to financial topics. The book demonstrates how neural networks used in combination with evolutionary computation can outperform classical econometric methods for accuracy in forecasting, classification, and dimensionality reduction.
MATLAB is used to solve application examples throughout the book. In addition, a supplemental set of MATLAB files is available.
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