@article{1267,
  keywords = {Microwaves, NASA, Neural networks, Rain, Remote sensing, Degree of reliability, Global precipitation measurements, Operational applications, Precipitation retrievals, Precipitation structure, Rain/no-rain classification, Retrieval algorithms, Satellite precipitation, Passive networks},
  author = {P. Sanò and G. Panegrossi and D. Casella and A.C. Marra and L.P. Adderio and J.F. Rysman and S. Dietrich},
  title = {The passive microwave neural network precipitation retrieval (PNPR) algorithm for the CONICAL scanning Global Microwave Imager (GMI) radiometer},
  year = {2018},
  journal = {Remote Sensing},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050503907&doi=10.3390%2frs10071122&partnerID=40&md5=ca2b8d26f78dd586f4caf66e75a2224f},
  doi = {10.3390/rs10071122},
}