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Using Artificial Neural Networks for Prediction of Global Solar Radiation in Tehran Considering Particulate Matter Air Pollution

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Figure

Fig. 1. Schematic view of neuron diagram regarding the performance state and the value of effective parameters in modeling
Table 1. The results of measuring indexes of modeling accuracy in learning, credit rating and network testing regarding different situations  TestValidationTrain  NeuronsFunction R 2RMSEMAPER2RMSEMAPER2RMSEMAPE 0.920.185.340.920.137.20.990.07 1.6622-1Tansi
Fig. 3. The total amount of measured radiation in comparison with the modeling result

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