Choice of informative input parameters for inverse neural network models of observed systems
Saved in:
| Date: | 2016 |
|---|---|
| Main Authors: | N. I. Obodan, N. A. Huk, O. S. Mahas |
| Format: | Article |
| Language: | English |
| Published: |
2016
|
| Series: | Mathematical methods and physicomechanical fields |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0000710507 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Library portal of National Academy of Sciences of Ukraine | LibNAS |
Institution
Library portal of National Academy of Sciences of Ukraine | LibNASSimilar Items
-
The selektion of reality model for the observed system using a neural network
by: N. I. Obodan, et al.
Published: (2015) -
Energy-efficient control of pump units based on neural-network parameters observer
by: S. O. Burian, et al.
Published: (2020) -
Neural network modeling of Herglotz—Wiechert inversion of multiparametric travel-time curves of seismic waves
by: M. A. Lazarenko, et al.
Published: (2017) -
Neural network modeling of Herglotz—Wiechert inversion of multiparametric travel-time curves of seismic waves
by: Lazarenko, M., et al.
Published: (2017) -
Mathematical model of the distribution of radio monitoring resources for observation of satellite communication channels using neural networks
by: Trysnyuk, Vasyl, et al.
Published: (2025)