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Artificial Intelligence Applications and Innovations 12th INNS EANN-SIG International Conference,EANN2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011 Corfu, Greece, September 15-18, 2011, Part II |
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Conference papers
Employing a Radial-Basis Function Artificial Neural Network to Classify Western and Transition European Economies Based on the Emissions of Air Pollutants and on Their Income
Abstract : This paper aims in comparing countries with different energy strategies, and demonstrate the close connection between environment and economic growth in the ex-Eastern countries, during their transition to market economies. We have developed a radial-basis function neural network system, which is trained to classify countries based on their emissions of carbon, sulphur and nitrogen oxides, and on their Gross National Income. We used three countries representative of ex-Eastern economies (Russia, Poland and Hungary) and three countries representative of Western economies (United States, France and United Kingdom). Results showed that the linkage between environmental pollution and economic growth has been maintained in ex-Eastern countries.
Cited literature [17 references]
https://hal.inria.fr/hal-01571479
Contributor : Hal Ifip <>
Submitted on : Wednesday, August 2, 2017 - 4:22:21 PM
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Contributor : Hal Ifip <>
Submitted on : Wednesday, August 2, 2017 - 4:22:21 PM
Last modification on : Thursday, March 5, 2020 - 5:42:25 PM
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