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Abstract

This article is devoted to the construction of a neural network model for predicting the electricity consumption of a combined dryer. The neural network model was carried out in the Neural Networks Toolbox package in Matlab. The adequacy of the built model was determined and compared with the experimental results.

Keywords

combined drum dryer neural network model grain dryer drying process

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How to Cite
Safarov Elyorbek Xasanovich. (2023). Neural Network Model of Energy Saving of Combined Drum Dryer. Texas Journal of Engineering and Technology, 20, 45–50. Retrieved from https://zienjournals.com/index.php/tjet/article/view/4060

References

  1. Mukhitdinov, J.P., Safarov, E.X.: Reviewing Technologies and Devices for Drying Grain and Oilseeds. Chem. Tech., Cont. and Manag. 3, 05-19 (2021).
  2. Vasiliev, A.N., Severinov, O.V.: Mathematical model of energy-saving technology of grain drying. (2015).
  3. Bastron, T.N., Chirukhina, N.M.: Energy Saving Modes of Drying the Oats by Means of Forced Aeration. Bulletin of KrasGAU. 4, (2012).
  4. Trojosky, M.: Rotary drums for efficient drying and cooling. Dry. Technol. vol. 37, pp. 632–651 (2019). https://doi.org/10.1080/07373937.2018.1552597.
  5. Yusupbekov, N.R., Mukhitdinov, J.P., Safarov, E.X. (2022). Aerodynamic solar dryer for bulk materials. Application for invention (UZ) IAP 2020 0420.
  6. J. Mukhitdinov and E. Safarov. Increasing the Productivity and Energy Efficiency of the Drum Grain Dryer. INTERAGROMASH 2022, LNNS 575, pp. 2151–2158, 2023. https://doi.org/10.1007/978-3-031-21219-2_241.
  7. Mukhitdinov, J.P., Safarov, E.X. Energy Saving Modeling of a Combined Rotary Drum Dryer. Chem. Technology. Cont. and Manag. 2022, №4-5 (106-107), 52-57.
  8. Kaur K. Artifcial Neural Network Model to Forecast Energy
  9. Consumption in Wheat Production in India. J Stat Theory Appl (2023). https://doi.org/10.1007/s44199-023-00052-w.
  10. Morteza T., G. M. Hassan, M. Asghar, and R.Hossein. Energy consumption and modeling of output energy
  11. with multilayer feed-forward neural network for corn silage in Iran. Agric Eng Int: CIGR Journal. Vol. 14, No.4