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A neural network based dynamic forecasting model for Trend Impact Analysis · Study

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ArticleA neural network based dynamic forecasting model for Trend Impact Analysis

Nedaa Agami2009

Article2009

A neural network based dynamic forecasting model for Trend Impact Analysis

Nedaa Agami · Amir F. Atiya · Mohamed Mostafa Saleh · Hisham El‐Shishiny

46 citations·0/0 files stored·Technological Forecasting and Social Change

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Forecasting Techniques and Applications Innovation Diffusion and Forecasting Scientific Research and Philosophical Inquiry

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References

1997The Delphi Method?1996The Art of the Long View: Planning for the Future in an Uncertain World 2010An Empirical Comparison of Machine Learning Models for Time Series Forecasting 2005RT Delphi: An efficient, “round-less” almost real time Delphi method 2005Futuring: The Exploration of the Future

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2014What corporations do with foresight 2018Modeling a combined forecast algorithm based on sequence patterns and near characteristics: An application for tourism demand forecasting 2012Forecast combination in industrial series: A comparison between individual forecasts and its combinations with and without correlated errors 2010A Fuzzy Logic based Trend Impact Analysis method 2017Technology forecasting using time series intervention based trend impact analysis for wheat yield scenario in India

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Year2009

Typearticle

Published2009-02-24

VenueTechnological Forecasting and Social Change

ISSN-L0040-1625

Languageen

Citations46

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.techfore.2008.12.004

openalex_workW2000018065

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