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Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions
Published 2020-05-01“…When Bayesian regularization was applied as a training algorithm, the WANN and ANN models accurately reproduced the APIs in both Xi’an and Lanzhou, although the WANN model (R = 0.8846 for Xi’an and R = 0.8906 for Lanzhou) performed better than the ANN (R = 0.8037 for Xi’an and R = 0.7742 for Lanzhou) during the forecasting stage. …”
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Mechanical properties and mechanism of damage and deterioration of coal under cyclic loading
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Influence of multi-point laser shock peening process on surficial mechanical properties in gear steels
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Nonlinear finite element analysis of equivalent Iwan model considering threaded connections
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