Using Neural Network For Control Of Fuzzy Storage

Section: Research Paper
Issue
Vol. 18 No. 2 (2021): Volume 18 Issue 2
Published
Jun 25, 2025
Pages
64-72

Abstract

In this research, an optimal model will be created to control the storage in the blood bank in Nineveh Governorate by studying the continuous review system for storage in light of the ambiguity of random demand. Data were withdrawn from the blood bank and on three inputs (order quantity, damaged quantity and number of donors), where the data distribution was verified and the normal distribution was also linearly followed. At first, we fogged the data using the ready-made tool in the program ((matlab) and after obtaining the results we entered it onthe neural network (RNN).The best result obtained is the use of the fuzzy neural network as compared to the classical method.

References

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  2. -Barhoum, Eng. Tariq, (2018), Analysis and Design of Controllers for Active Suspension Systems Using the Extended Adaptive Fuzzy Inference System (EANFIS), PhD thesis, Tishreen University, Syrian Arab Republic, 86-49.
  3. -Zain Al-Abidin, Norcel Ahmed, (2009), Applications of Fuzzy Logic in Statistics, Master Thesis, University of Mosul, Iraq, 22-3.
  4. -Ali, Abdullah Hassan, (2006), Building a Fuzzy Store Control Model from a Practical Application, Master Thesis, University of Baghdad, Iraq, 9-18.
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  6. - Gurney, Kevin, An Introduction To Neural Network, University Of Sheffield, Routledge Taylor and Francis Group, 2003.
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Authors

Zinah Mudher ALbazzaz

Department of Statistics and Informatics, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq

ORCID
Noor Sabah Ibrahim

Department of Statistics and Informatics, Faculty of Computer Science and Mathematics, University of Mosul, Mosul, Iraq

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How to Cite

Mudher ALbazzaz, Z., زينة, Sabah Ibrahim, N., & نور. (2025). Using Neural Network For Control Of Fuzzy Storage. IRAQI JOURNAL OF STATISTICAL SCIENCES, 18(2), 64–72. Retrieved from https://rjps.uomosul.edu.iq/index.php/stats/article/view/20749