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RAINFALL PREDICTION USING MACHINE LEARNING …

RAINFALL PREDICTION USING MACHINE LEARNING TECHNIQUES A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF APPLIED SCIENCES OF NEAR EAST UNIVERSITY By ZANYAR RZGAR AHMED In Partial Fulfillment of the Requirements for the Degree of Master of Science in COMPUTER ENGINEERING NICOSIA, 2018 ZANYAR RZGAR RAINFALL PREDICTION USING MACHINE NEU AHMED LEARNING TECHNIQUES 2018 RAINFALL PREDICTION USING MACHINE LEARNING TECHNIQUES A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF APPLIED SCIENCES OF NEAR EAST UNIVERSITY By ZANYAR RZGAR AHMED In Partial Fulfillment of the Requirements for the Degree of Master of Science in Computer Engineering NICOSIA, 2018 Zanyar Rzgar Ahmed: RAINFALL PREDICTION USING MACHINE LEARNING TECHNIQUES Approval of Director of Graduate School of Applied Sciences Prof.

of 0.011, 0.015 and 0.025, but also maximizing the reliability and durability of the predicted data. The results of the study highlight that the ANFIS model is most suitable among the artificial networks for the rainfall prediction. The outcome data with ANFIS system presented

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  System, Machine, Reliability, Learning, Prediction, Machine learning

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