Published October 2006
| Version v1
Journal article
Drift Data Modeling of Laser Gyro Based on Neural Networks
Creators
- 1. Department of Automatic Control, Northwestern Polytechnical University, Xi'an (China)
Description
This paper is about laser gyro drift data modeling by RBF and BP neural network. Compare neural networks effect by calculating MSE of the simulation data. The MSE of simulated data improved 50% compare with original data. The calculated data prove that BP and RBF neural network can reflect the tendency of drift data changed with temperature, and fit the test data exactly
Availability note (English)
Available online at http://stacks.iop.org/1742-6596/48/128/jpconf6_48_023.pdf or at the Web site for the Journal of Physics. Conference Series (Online) (ISSN 1742-6596) http://www.iop.org/Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 48
- Journal Issue
- 1
- Journal Page Range
- p. 128-133
- ISSN
- 1742-6596
Conference
- Title
- International symposium on instrumentation science and technology
- Dates
- 8-12 Aug 2006
- Place
- Harbin (China)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 38033595
- Subject category
- S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPARATIVE EVALUATIONS; COMPUTERIZED SIMULATION; LASER RADIATION; LASERS; NEURAL NETWORKS; TEMPERATURE DEPENDENCE
- Descriptors DEC
- ELECTROMAGNETIC RADIATION; EVALUATION; RADIATIONS; SIMULATION