Journal
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
Volume 4, Issue 1, Pages 141-149Publisher
SPRINGER
DOI: 10.1007/BF03325972
Keywords
arosa; total ozone; single-hidden-layer; artificial neural network; multiple linear regression; forecast
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Present paper endeavors to develop predictive artificial neural network model for forecasting the mean monthly total ozone, concentration over Arosa, Switzerland. Single hidden layer neural network models with variable number of nodes have been developed and their performances have been evaluated using the method of least squares and error estimation. Their performances have been compared with multiple linear regression model. Ultimately, single-hidden-layer model with 8 hidden nodes have been identified as the best predictive model.
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