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Static, Dynamic, and Hybrid Neural Networks in Forecasting Inflation · Study

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ArticleStatic, Dynamic, and Hybrid Neural Networks in Forecasting Inflation

Saeed Moshiri1999

OA

Articlegreen1999

Static, Dynamic, and Hybrid Neural Networks in Forecasting Inflation

Saeed Moshiri · Norman Cameron · David Scuse

50 citations·0/0 files stored·Computational Economics

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Forecasting Techniques and Applications Neural Networks and Applications Stock Market Forecasting Methods

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References

1997Serial Order: A Parallel Distributed Processing Approach 1996Neural Network Models for Time Series Forecasts 1995Forecasting exchange rates using feedforward and recurrent neural networks 1997A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks 1994A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks 2000Neural network versus econometric models in forecasting inflation

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2004Unemployment variation over the business cycles: a comparison of forecasting models 2019Intelligent forecasting of economic growth for developing economies 2014Forecasting US Unemployment with Radial Basis Neural Networks, Kalman Filters and Support Vector Regressions 2010Does money matter in inflation forecasting?2021A New Hybrid Instance-Based Learning Model for Decision-Making in the P2P Lending Market

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Year1999

Typearticle

Published1999-12-01

VenueComputational Economics

ISSN-L0927-7099

Languageen

Citations50

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1023/a:1008752024721

openalex_workW1527577893

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