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Neural Networks for Forecasting: An Introduction

Author

Listed:
  • Nowrouz Kohzadi
  • Milton S. Boyd
  • Iebeling Kaastra
  • Bahman S. Kermanshahi
  • David Scuse

Abstract

No abstract is available for this item.

Suggested Citation

  • Nowrouz Kohzadi & Milton S. Boyd & Iebeling Kaastra & Bahman S. Kermanshahi & David Scuse, 1995. "Neural Networks for Forecasting: An Introduction," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 43(3), pages 463-474, November.
    • Handle: RePEc:bla:canjag:v:43:y:1995:i:3:p:463-474
    DOI: j.1744-7976.1995.tb00135.x
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    Citations

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    Cited by:

    1. Greg Tkacz & Sarah Hu, 1999. "Forecasting GDP Growth Using Artificial Neural Networks," Staff Working Papers 99-3, Bank of Canada.
    2. Rigby, Aidan & Baker, Una & Lindley, Benjamin & Wagner, Michael, 2024. "Generation and validation of comprehensive synthetic weather histories using auto-regressive moving-average models," Renewable Energy, Elsevier, vol. 224(C).
    3. Richards, Timothy J. & Patterson, Paul M. & van Ispelen, Pieter, 1998. "Modeling Fresh Tomato Marketing Margins: Econometrics And Neural Networks," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 27(2), pages 1-14, October.
    4. Saeed Azimi & Mehdi Azhdary Moghaddam, 2020. "Modeling Short Term Rainfall Forecast Using Neural Networks, and Gaussian Process Classification Based on the SPI Drought Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1369-1405, March.
    5. Rafael R. S. Guimaraes, 2022. "Deep Learning Macroeconomics," Papers 2201.13380, arXiv.org.
    6. Carlos León & Fabio Ortega, 2018. "Nowcasting Economic Activity with Electronic Payments Data: A Predictive Modeling Approach," Revista de Economía del Rosario, Universidad del Rosario, vol. 21(2), pages 381-407, December.
    7. Tabandeh, Razieh & jusoh, mansor & Md Noor, Nor Ghani & Zaidi, Mohd Azlan Shah, 2013. "Causes of Tax Evasion and Their Relative Contribution in Malaysia: An Artificial Neural Network Method Analysis," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 47(1), pages 99-108.
    8. Andrea BONFIGLIO, 2006. "Comparing Environmental Impact of Alternative CAP Scenarios Estimated Through an Artificial Neural Network," Working Papers 269, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

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