Application of inductive learning: Air pollution forecast in Istanbul, Turkey

Ferhat Karaca, Omar Alagha, Ferruh Ertürk

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

In this study, Istanbul city was taken as the study area. A new and powerful technique, Artificial Intelligence (AI), an Inductive Learning Algorithm (RULES-3), was used in predicting the future (next 24 hours) sulfur dioxide (SOZ) air pollutant on the basis of vazious meteorological parameters. The goal of this study is to forecast the 24-h average SOZ concentration levels in the urban atmosphere using AL As a result of this study, it was seen that AI is a powerful tool in estimating air pollution levels considering the complex and nonlinear structure of the atmospheric parameters, which is the source of the database.

Original languageEnglish
Pages (from-to)207-216
Number of pages10
JournalIntelligent Automation and Soft Computing
Volume11
Issue number4
DOIs
Publication statusPublished - Jan 1 2005
Externally publishedYes

Keywords

  • Air pollution forecasting
  • Inductive learning
  • RULES-3
  • SOZ

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

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