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Artificial intelligence-based evaluation of the factors affecting the sales of an iron and steel company

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References

2020A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series493 cited
2019Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques401 cited
2008A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis263 cited
2011Determining of stock investments with grey relational analysis129 cited
2005Evolving neural network for printed circuit board sales forecasting95 cited
2013An alternative approach to estimating the parameters of a generalised Grey Verhulst model: An application to steel intensity of use in the UK94 cited
2017Pattern graph tracking-based stock price prediction using big data82 cited
2010Performance analysis of demand planning approaches for aggregating, forecasting and disaggregating interrelated demands45 cited

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2024Exploring climate change discourse on social media and blogs using a topic modeling analysis63 cited
2024Fuzzy Integrated Delphi-ISM-MICMAC Hybrid Multi-Criteria Approach to Optimize the Artificial Intelligence (AI) Factors Influencing Cost Management in Civil Engineering36 cited

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