Neural Network for Sky Darkness Level Prediction in Rural Areas
Abstract
:1. Introduction
Conceptual Framework
2. Data Collection
2.1. Location
2.2. Equipment
3. Multilayer Perceptron Development
4. Results and Discussion
5. Conclusions
5.1. Limitations/Future Lines of Research
5.2. Contribution to the Academic and Local Community
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Statistic | Value (mag/arcsec2) |
---|---|
Minimum | 9.5 |
Maximum | 22.91 |
Mean | 17.93 |
Standard deviation | 3.99 |
wj,1 | wj,2 | bj |
---|---|---|
2.36 | −0.21 | −2.86 |
4.03 | 1.30 | −3.18 |
−3.54 | 3.84 | 0.11 |
3.05 | −3.13 | 0.01 |
4.53 | 4.77 | 0.40 |
−3.94 | −3.93 | −0.22 |
−6.91 | −1.32 | −2.38 |
0.25 | 2.86 | 0.80 |
2.73 | 3.03 | 4.09 |
3.67 | 2.65 | 4.49 |
wOutput,j |
---|
1.32 |
−0.32 |
4.02 |
4.93 |
1.90 |
2.37 |
0.39 |
0.52 |
1.50 |
−1.43 |
Model | Sd | R2 | MAE | RMSE |
---|---|---|---|---|
Martínez-Martín et al. (this study) | 1.54 | 0.85 | 1.21 | 1.51 |
C-Sánchez et al. [34] | 4.77 | 0.87 | 1.57 | 2.09 |
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Martínez-Martín, A.; Jaramillo-Morán, M.Á.; Carmona-Fernández, D.; Calderón-Godoy, M.; González, J.F.G. Neural Network for Sky Darkness Level Prediction in Rural Areas. Sustainability 2024, 16, 7795. https://doi.org/10.3390/su16177795
Martínez-Martín A, Jaramillo-Morán MÁ, Carmona-Fernández D, Calderón-Godoy M, González JFG. Neural Network for Sky Darkness Level Prediction in Rural Areas. Sustainability. 2024; 16(17):7795. https://doi.org/10.3390/su16177795
Chicago/Turabian StyleMartínez-Martín, Alejandro, Miguel Ángel Jaramillo-Morán, Diego Carmona-Fernández, Manuel Calderón-Godoy, and Juan Félix González González. 2024. "Neural Network for Sky Darkness Level Prediction in Rural Areas" Sustainability 16, no. 17: 7795. https://doi.org/10.3390/su16177795