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A Modified Adaptive Neuro-Fuzzy Inference System Using Multi-Verse Optimizer Algorithm for Oil Consumption Forecasting
Faculty
Science
Year:
2019
Type of Publication:
ZU Hosted
Pages:
Authors:
Mohamed El Sayed Ahmed Muhamed
Staff Zu Site
Abstract In Staff Site
Journal:
SOFT COMPUTING MDPI
Volume:
Keywords :
, Modified Adaptive Neuro-Fuzzy Inference System Using Multi-Verse
Abstract:
Oil is the primary source of energy, therefore, oil consumption forecasting is essential for the necessary economic and social plans. This paper presents an alternative time series prediction method for oil consumption based on a modified
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Mohamed El Sayed Ahmed Muhamed, "Efficient schemes for playout latency reduction in P2P-VOD systems", Springer, 2018
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Mohamed El Sayed Ahmed Muhamed, "a novel algorithm for source localization based on nonnegative matrix factroization using \alpha 'beta divergence in chochleagram", WSEAS, 2013
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Mohamed El Sayed Ahmed Muhamed, "Open cluster membership probability based on K-means clustering algorithm", Springer, 2016
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Department Related Publications
Alaa Hassan Attia Hassan, "Subclass of Multivalent β-Uniformly Functions with Varying Arguments", Hindawi Publishing Corporation, USA, 2013
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Imam Gomaa Imam Omar, "Asymmetric and s-Complete i-v and Bipolar Fuzzy Matrices", Iceland, 2013
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Zainab AbdelFattah AbdulJalil Mustafa, "ON INTUITIONISTIC FUZZY SYNTOPOGENOUS STRUCTURES", ETMS, 2008
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