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Different kernel functions used in the study. x;andx; are vectors in the input space, d, r, and y are the kernel parameters. Table 3

Table 3 Different kernel functions used in the study. x;andx; are vectors in the input space, d, r, and y are the kernel parameters. Table 3

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Geographic information of the study weather stations. Table 1
Geographic information of the study weather stations. Table 1
Fig. 1. A three-layer artificial neural network structure.
Fig. 1. A three-layer artificial neural network structure.
The basic MF's used in the study. {a, b, c, d} is the parameter set that changes the shapes of the MFs with maximum 1 and minimum 0. Table 2
The basic MF's used in the study. {a, b, c, d} is the parameter set that changes the shapes of the MFs with maximum 1 and minimum 0. Table 2
where x and y are the crisp inputs to node i, A; and B; are the fuzzy sets in the antecedent, f; is the output within the fuzzy region specified by the fuzzy rule; and p;, gq; and r; are the design parameters that are determined during the training process.
where x and y are the crisp inputs to node i, A; and B; are the fuzzy sets in the antecedent, f; is the output within the fuzzy region specified by the fuzzy rule; and p;, gq; and r; are the design parameters that are determined during the training process.
Features of the ANN models. Table 4
Features of the ANN models. Table 4
Optimum SVM parameters obtained by the GA-based. Table 5
Optimum SVM parameters obtained by the GA-based. Table 5
The R*, RMSE and MAE statistics for each model during training and testing phases for six locations in Yucatan, Peninsula, México. Table 6
The R*, RMSE and MAE statistics for each model during training and testing phases for six locations in Yucatan, Peninsula, México. Table 6
Fig. 3. Regression analysis plot for the SVM1 model between measured and estimated values of daily global solar radiation during test phase.
Fig. 3. Regression analysis plot for the SVM1 model between measured and estimated values of daily global solar radiation during test phase.
Related topics:
adaptive neuro fuzzy inference system (ANFIS)
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