DocumentCode
2205353
Title
Application of lattice neural networks for modeling of stationary physical fields
Author
Korsunov, Nikolai ; Mikhelev, Vladimir ; Lomakin, Alexei
Author_Institution
Belgorod State Univ., Belgorod, Russia
fYear
2013
fDate
12-14 Sept. 2013
Firstpage
369
Lastpage
372
Abstract
Considered the modeling of stationary physical fields with neural networks. Chosen the architecture of the neural network, developed neuroequations, proved assertions about the output values of the neurons.
Keywords
Laplace equations; Poisson equation; lattice theory; mathematics computing; neural nets; Laplace-Poisson equations; lattice neural networks; mathematical modeling; neuroequations; stationary physical field modeling; Biological neural networks; Computational modeling; Equations; Finite element analysis; Mathematical model; Neurons; Parallel processing; Laplace-Poisson equations; neural network; neuroequations;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location
Berlin
Print_ISBN
978-1-4799-1426-5
Type
conf
DOI
10.1109/IDAACS.2013.6662708
Filename
6662708
Link To Document