| Autor: |
Sujatha, M., Bojja, Polaiah, Kumari, Pamula Raja, Singh, K. Kevin Shyam |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 2512 Issue 1, p1-8, 8p |
| Abstrakt: |
The concentrate to develop the model for Vijayawada metropolitan mega city in India by using Soft Computing techniques which are an ANNs and FLS and also ANFIS (Artificial Neural Networks are developed to predict NO2 and O3 concentrations for Vijayawada City. The model of meteorological variables like wind speed, wind direction, TEMP, RH and AP which are used as input variables for development of Model. The grades obtained using Soft Computing techniques the outputs of an ANNs models. Pragmatic and predict concentrations are in the 0.985 of ANN. The evaluation of models results shows that the degree of success in NO2 and O3 concentration are seems to be good which is proposed to predict the NO2 and O3 concentrations. The evaluation of performance criteria can be compared for proposed approaches of M L Methods such as neural networks. Simulation studies are carried-out for the Prediction of NO2 and O3 Concentrations in Ambient Air Using method for Vijayawada Model using MATLAB software. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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