期刊
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
卷 4, 期 1, 页码 141-149出版社
SPRINGER
DOI: 10.1007/BF03325972
关键词
arosa; total ozone; single-hidden-layer; artificial neural network; multiple linear regression; forecast
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据