NG31A:
Neural Networks in Geophysics Posters

Session ID#: 3614

Wednesday, 17 December 2014: 8:00 AM-12:20 PM
Poster Hall (Moscone_South)
Chair:  Ute C Herzfeld, University Colorado Boulder, Geomathematics, Remote Sensing and Cryospheric Sciences Laboratory; Electrical, Computer and Energy Engineering, Boulder, United States
Primary Convener:  Ute C Herzfeld, University Colorado Boulder, Geomathematics, Remote Sensing and Cryospheric Sciences Laboratory; Electrical, Computer and Energy Engineering, Boulder, United States; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, United States
Co-Convener:  Bruce Wallin, NMT, Socorro, NM, United States
OSPA Liaison:  Ute C Herzfeld, University Colorado Boulder, Geomathematics, Remote Sensing and Cryospheric Sciences Laboratory; Electrical, Computer and Energy Engineering, Boulder, United States
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • C - Cryosphere
  • DI - Study of the Earth's Deep Interior
  • IN - Earth and Space Science Informatics
  • NH - Natural Hazards
  • OS - Ocean Sciences
Index Terms:

1916 Data and information discovery [INFORMATICS]
1956 Numerical algorithms [INFORMATICS]
1968 Scientific reasoning/inference [INFORMATICS]
3299 General or miscellaneous [MATHEMATICAL GEOPHYSICS]
Virtual Option?: No

Abstracts Submitted to this Session:

 
NG31A-3786
Self-Organization Maps for Analyzing the Black Sea Bio-Physical Variability and Surface Wind Forcing (3363)
Peter C Chu and Emre Gulher, Naval Postgraduate School, Monterey, CA, United States
 
NG31A-3787
Self-Organizing Maps method in recent Adriatic Sea environmental studies: applications and perspectives (12724)
Hrvoje Mihanovic and Ivica Vilibic, Institute of Oceanography and Fisheries, Split, Croatia
 
NG31A-3788
Global Crustal Heat Flow Using Random Decision Forest Prediction (17730)
Joseph J Becker1, Warren T Wood1 and Kylara M Martin2, (1)NRL, STENNIS SPACE CENTER, MS, United States, (2)Naval Research Laboratory, Stennis Space Center, MS, United States
 
NG31A-3789
A Neural-Network-Based Semi-Automated Geospatial Classification Tool (19720)
Robert Griffin Hale, University of Colorado at Boulder, Aerospace, Boulder, CO, United States and Ute C Herzfeld, University Colorado Boulder, Geomathematics, Remote Sensing and Cryospheric Sciences Laboratory; Electrical, Computer and Energy Engineering, Boulder, United States
 
NG31A-3790
Phosphate Mineral Deposits Characterization Using Multivariate Data and SOM-based Processing (20085)
Lucas P Moreira1, Luciano S da Cunha2, Michael J Friedel3, Jose E Campos2 and Fabio C de Mendonça4, (1)Catholic University of Brasilia, Civil Engineering Department, Brasilia, Brazil, (2)UNB University of Brasilia, Geosciences Institute, Asa Norte, Brazil, (3)GNS Science, Lower Hutt, New Zealand, (4)DuSolo Fertilizers, Brasilia, Brazil
 
NG31A-3791
A Modified Artifitial Neural Network Ensemble Framework for Drought Estimation (31128)
Mohammad Helmi Alobaidi1, Prashanth Reddy Marpu2 and Taha Ouarda1, (1)Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates, (2)Masdar Institute, Khalifa University of Science and Technology, Electrical and Computer Engineering, Abu Dhabi, United Arab Emirates
See more of: Nonlinear Geophysics