Using neural networks and cognitive mapping in scenario analysis: the case of Turkey's inflation dynamics

DOI10.1016/S0377-2217(03)00275-3zbMath1061.90077OpenAlexW2010644431MaRDI QIDQ1827653

Füsun Ülengin, Burç Ülengin, Şule Önsel Şahin

Publication date: 6 August 2004

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(03)00275-3

zbMATH Keywords

Neural networksScenariosCognitive mappingInflation estimation

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Operations research and management science (90B99)

Related Items (1)

A Bayesian causal map for inflation analysis: the case of Turkey

Uses Software

• Matlab
• Excel
• Neural Network Toolbox
• Decision Explorer
• Insight.xla

Cites Work

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• Determining market response functions by neural network modeling: A comparison to econometric techniques
• A comparison of SOM neural network and hierarchical clustering methods
• Do core inflation measures help forecast inflation?: Out-of-sample evidence from French data
• Feedforward Neural Nets as Models for Time Series Forecasting
• A network-based futures method for strategic business planning
• An application of a network-based futures method to strategic business planning
• Generating networks for strategic planning by successive key factor modification
• A Dynamic Perspective of Differences Between Cognitive Maps
• A Comparison of Discriminant Analysis versus Artificial Neural Networks
• A Bayesian network approach to making inferences in causal maps

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