Research Article
A Prediction Model for Energy Production in a Solar Concentrator Using Artificial Neural Networks
Table 11
b 1∈R19x1, b2∈R57x1, and b3∈R1x1, b terms are defined as biases of the predicted model equation.
| | 1.5773 | | 7.4748 | | 0.5720 | | -2.6027 | | 2.4145 | | -0.6941 | | 2.9302 | | -1.4683 | | 0.2512 | | 3.3465 | | 1.6637 | | -0.6885 | | -2.2299 | | -1.6546 | | 2.6345 | | -14.8070 | | 6.5923 | | -0.3518 | | 0.5946 | | 1.7690 | | -1.7807 | | -4.2605 | | 0.2809 | | 3.5743 | | 1.4917 | | 5.4587 | | 2.7441 | | 2.0470 | | -0.6138 | | 0.4630 | | 0.0946 | | -3.8647 | | -0.4668 | | 0.5917 | | 2.2129 | | 0.4894 | | 2.5866 | | -1.0896 | | -0.5213 | | 1.7523 | | -3.1299 | | -4.2745 | | 3.3654 | | -2.4878 | | 1.9359 | | 1.3570 | | -2.2896 | | -3.5932 | | 0.7066 | | 0.9675 | | -0.0655 | | 0.4406 | | 0.2166 | | 1.3100 | | 1.9875 | | -2.0036 | | -4.1472 | | -1.9795 | | 1.3173 | | 4.7772 | | -2.7572 | | -1.7666 | | -1.2642 | | 0.8795 | | -0.7912 | | -0.4316 | | -1.7747 | | 0.4242 | | -5.4087 | | 0.8790 | | -0.5303 | | 0.3762 | | -0.0253 | | 2.7785 | | 4.9585 | | 0.1278 | | 0.5638 |
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