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 :
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