NEURAL NETWORKS METHOD IN PRESSURE GAUGE MODELING |
|---|
| Alexander Vasilyev, Dmitry Tarkhov, Gleb Guschin |
- Abstract:
- The mathematical model of an acoustic wave field in the measuring cavity of pressure calibrator is established. Two ways to the problem solution are posed. The system of two neural networks – RBF and perceptron – is applied to the working hole optimization and the wave field approximation. This new approach based on neural networks methodology seems to be adequate, effective and powerful: it is weakly sensitive to some entrance data perturbation, it gives trained neural networks for a set of problems solution, it is possible to use the same ideas in case of nonlinearity modeling.
- Keywords:
- gauge, boundary optimization, neural networks
- Download:
- IMEKO-TC7-2004-078.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC7
- Event name:
- TC7 Symposium 2004
- Title:
10th Symposium on Advances of Measurement Science
- Place:
- St. Petersburg, RUSSIA
- Time:
- 30 June 2004 - 02 July 2004