| Autor: |
Bojja, Polaiah, Divya, V., Naidu, M. G. M., Ashok, G., Kumaraswamy, E. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 5/24/2022, Vol. 2418 Issue 1, p1-7, 7p |
| Abstrakt: |
Generally, scientists have been built up the models for district area of Ambient air for the utilization of room however not significant metropolitan/current urban areas surrounding air areas, for instance, Hyderabad, Chennai, Mumbai and Vijayawada and so on. In the current examination, we concentrate to build up the model for Hyderabad metropolitan super city in India by utilizing Soft Computing strategies which are Fuzzy Logic Systems and ANFIS (Artificial Neural Networks and Fuzzy Inference Systems) models are created to foresee NO2 and O3 focussed for Hyderabad City. The model of meteorological factors likes wind speed, wind direction, temperature, relative humidity, and atmospheric pressure are utilized as info factors for the advancement of the model. The outcomes acquired utilizing Soft Computing procedures were contrasted with the yields of Fuzzy Logic Systems and ANFIS models. The correlation coefficient among noticed and predicted concentrations are in the scope of 0.966 to 0.985 of Fuzzy Logic Systems and ANFIS. The assessment of model results shows that the level of accomplishment in NO2 and O3 fixation are is by all accounts good when compared with the Fuzzy Inference system which is proposed to anticipate the NO2 and O3 concentrations. The assessment of executed models can be analyzed for proposed approaches to Soft Computing procedures. Recreated studies are done for the Prediction of NO2 and O3 Concentrations in Ambient Air Using Soft Computing Techniques for Hyderabad Model utilizing MATLAB programming. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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