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AKILLI SİSTEMLER VE UYGULAMALARI DERGİSİ
JOURNAL OF INTELLIGENT SYSTEMS WITH APPLICATIONS
J. Intell. Syst. Appl.
E-ISSN: 2667-6893
Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

Rainfall Prediction Using Adaptive Neuro-Fuzzy Inference System

Uyarlamalı Ağ Tabanlı Bulanık Mantık Çıkarım Sistemi İle Yağış Tahmini

How to cite: Terzi , Özcanoğlu O, Baykal T. Rainfall prediction using adaptive neuro-fuzzy inference system. Akıllı Sistemler ve Uygulamaları Dergisi (Journal of Intelligent Systems with Applications) 2018; 1(1): 23-25. DOI: 10.54856/jiswa.201805009

Full Text: PDF, in Turkish.

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Title: Rainfall Prediction Using Adaptive Neuro-Fuzzy Inference System

Abstract: The rainfall prediction is of great importance in the utilization and planning of water resources. In this study, the validity of Adaptive Neuro-Fuzzy Inference System (ANFIS) in rainfall prediction is investigated. The ANFIS models are developed with different input combinations and it is observed that ANFIS models give successful results in rainfall prediction.

Keywords: Rainfall; water resources; ANFIS model; Isparta


Başlık: Uyarlamalı Ağ Tabanlı Bulanık Mantık Çıkarım Sistemi İle Yağış Tahmini

Özet: Yağış tahmini, su kaynaklarının doğru bir şekilde kullanımı ve planlanmasında oldukça önemli bir yer tutmaktadır. Bu çalışmada, yağış tahmininde uyarlamalı ağ tabanlı bulanık mantık çıkarım sisteminin (ANFIS) geçerliliği araştırılmıştır. Farklı girdi kombinasyonları ile modeller geliştirilmiş ve yağış tahmini için ANFIS modellerinin başarılı sonuçlar verdiği belirlenmiştir.

Anahtar kelimeler: Yağış; su kaynakları; ANFIS modeli; Isparta


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