Neural networks in seismic discrimination

Conference · Sun Jan 01 04:00:00 EST 1995

OSTI ID:105893

Dowla, F U

Neural networks are powerful and elegant computational tools that can be used in the analysis of geophysical signals. At Lawrence Livermore National Laboratory, we have developed neural networks to solve problems in seismic discrimination, event classification, and seismic and hydrodynamic yield estimation. Other researchers have used neural networks for seismic phase identification. We are currently developing neural networks to estimate depths of seismic events using regional seismograms. In this paper different types of network architecture and representation techniques are discussed. We address the important problem of designing neural networks with good generalization capabilities. Examples of neural networks for treaty verification applications are also described.

• Research Organization: Lawrence Livermore National Lab., CA (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: W-7405-ENG-48
• OSTI ID: 105893
• Report Number(s): UCRL-JC--119218; CONF-950151--7; ON: DE95015894
• Country of Publication: United States
• Language: English

Related Subjects

45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE
58 GEOSCIENCES
99 GENERAL AND MISCELLANEOUS
ALGORITHMS
DATA ANALYSIS
LAWRENCE LIVERMORE NATIONAL LABORATORY
MATRICES
NEURAL NETWORKS
SEISMIC WAVES
WAVE EQUATIONS