Advances in artificial intelligence in economics, finance, and management
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Bibliographic Information
Advances in artificial intelligence in economics, finance, and management
JAI Press, 1994-
- v. 1 1994
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Description and Table of Contents
Description
Part of a series on advances in artificial intelligence in economics, finance and management, this first volume discusses such topics as: artificial neural systems; the economic theory foundation for neural computing systems; and neural network of managerial judgement; among other topics.
Table of Contents
- Artificial neural systems - history and foundations for research, Delvin D. Hawley, John D. Johnson
- alternative neural network paradigms - a general framework for research, Lou Caporaletti et al
- adjustment in matching markets - a neural net approach, Kislaya Prasad
- the economic theory foundation for neural computing systems, Abhijit Chaudhury et al
- approximating production technologies with feedforward neural networks, Wayne Joerding et al
- neural network models of managerial judgement, William Remus, Tim Hill
- a neural network production planning system, Tep Sastri
- neural networks for time series model identification and change detection, Tep Sastri et al
- predicting country risk rating using artificial neural networks, Jean Roy, Jean-Claude Cosset
- optimization, utilizing genetic algorithms, Robert Dorsey, Walter J. Mayer
- a genetic algorithm for training of multilayered feed forward neural networks utilizing alternative objective functions, Robert Dorsey, John D. Johnson
- comparing neural network models with regression equations and expert system shells as representations of how individuals manipulate uncertainty, David Kopsco et al
- a probabilistic Connecticut expert system, Loke-Soo Hsu.
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