Program PSNN (Plasma Spectroscopy Neural Network)

Technical Report · Sun Aug 01 00:00:00 EDT 1993

DOI:https://doi.org/10.2172/10184767· OSTI ID:10184767

Morgan, W L ^[1]; Larsen, J T ^[2]

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1. Kinema Research, Monument, CO (United States)
2. Cascade Applied Sciences, Inc., Boulder, CO (United States)

This program uses the standard ``delta rule`` back-propagation supervised training algorithm for multi-layer neural networks. The inputs are line intensities in arbitrary units, which are then normalized within the program. The outputs are T{sub e}(eV), N{sub e}(cm{sup {minus}3}), and a fractional ionization, which in our testing using H- and He-like spectra, was N(He)/[N(H) + N(He)].

• Research Organization: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Kinema Research, Monument, CO (United States); Cascade Applied Sciences, Inc., Boulder, CO (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: W-7405-ENG-48
• OSTI ID: 10184767
• Report Number(s): UCRL-CR-114650; ON: DE93040843
• Resource Relation: Other Information: PBD: Aug 1993
• Country of Publication: United States
• Language: English

Related Subjects

70 PLASMA PHYSICS AND FUSION TECHNOLOGY
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
NEURAL NETWORKS
P CODES
SPECTROSCOPY
PLASMA
ALGORITHMS
ELECTRON TEMPERATURE
ELECTRON DENSITY
IONIZATION
HELIUM
HYDROGEN
700320
990200
PLASMA DIAGNOSTIC TECHNIQUES AND INSTRUMENTATION
MATHEMATICS AND COMPUTERS