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Prediction of Maximum Ground Ozone Levels using Neural Network
International Journal of Computing and Digital Systems
Ozone is one of the most effective pollutants in lower atmosphere. Concentration of ozone in atmosphere reveals its impact on plants, human and on other organic materials. Many techniques had been used in past to calculate the concentration of ozone with the help of other environmental factors like wind, humidity, temperature and etc. Prediction models like Artificial Neural Network (ANN) have gained much reputation in calculating accurate results with learning data. This paper shows a study ofdoi:10.12785/ijcds/030207 fatcat:y4mj4mx6xnddhlivuoqaegoeiu