APA (7th ed.) Citation

Gu, J., Liang, S., Song, Q., Li, Y., Wang, Y., & Guo, S. (2024). Comparative evaluation of backpropagation neural network and genetic algorithm-backpropagation neural network models for PM2.5 concentration prediction based on aerosol optical depth, meteorological factors, and air pollutants. Journal of applied remote sensing, 18(1), 012006. https://doi.org/10.1117/1.JRS.18.012006

Chicago Style (17th ed.) Citation

Gu, Jilin, Shuang Liang, Qiao Song, Yuwei Li, Yiwei Wang, and Shumin Guo. "Comparative Evaluation of Backpropagation Neural Network and Genetic Algorithm-backpropagation Neural Network Models for PM2.5 Concentration Prediction Based on Aerosol Optical Depth, Meteorological Factors, and Air Pollutants." Journal of Applied Remote Sensing 18, no. 1 (2024): 012006. https://doi.org/10.1117/1.JRS.18.012006.

MLA (9th ed.) Citation

Gu, Jilin, et al. "Comparative Evaluation of Backpropagation Neural Network and Genetic Algorithm-backpropagation Neural Network Models for PM2.5 Concentration Prediction Based on Aerosol Optical Depth, Meteorological Factors, and Air Pollutants." Journal of Applied Remote Sensing, vol. 18, no. 1, 2024, p. 012006, https://doi.org/10.1117/1.JRS.18.012006.