artificial neural network

Aruffo, E., Carlo, P. D., Cristofanelli, P., & Bonasoni, P. (2020). Neural network model analysis for investigation of NO origin in a high mountain site. Atmosphere. http://doi.org/10.3390/atmos11020173

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Chianese, E., Camastra, F., Ciaramella, A., Landi, T. C., Staiano, A., & Riccio, A. (2019). Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron. Ecological Informatics. http://doi.org/10.1016/j.ecoinf.2018.12.001

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Panegrossi, G., Casella, D., Dietrich, S., Marra, A. C., Sanò, P., Mugnai, A., et al. (2016). Use of the GPM Constellation for Monitoring Heavy Precipitation Events over the Mediterranean Region. Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing. http://doi.org/10.1109/JSTARS.2016.2520660

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Sanò, P., Panegrossi, G., Casella, D., Di Paola, F., Milani, L., Mugnai, A., et al. (2015). The passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for AMSU/MHS observations: Description and application to European case studies. Atmospheric Measurement Techniques. http://doi.org/10.5194/amt-8-837-2015

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