Title :
The optimization of artificial neural network architecture by genetic algorithms to process the vector signal of gas-analytical multisensor array
Author :
Dykin, V.S. ; Musatov, V.Yu. ; Sysoev, V.V. ; Varezhnikov, A.S.
Author_Institution :
Yuri Gagarin State Tech. Univ. of Saratov, Saratov, Russia
Abstract :
This paper considers the method to increase a performance of gas recognition by multisensor array. The described algorithmic method employs a genetic algorithm for finding optimal parameters of artificial neural network.
Keywords :
gas sensors; genetic algorithms; neural nets; sensor fusion; artificial neural network architecture; gas recognition; gas-analytical multisensor array; genetic algorithms; optimization; vector signal; Arrays; Artificial neural networks; Educational institutions; Electronic mail; Genetic algorithms; Optimization; Vectors;
Conference_Titel :
Actual Problems of Electron Devices Engineering (APEDE), 2014 International Conference on
Conference_Location :
Saratov
Print_ISBN :
978-1-4799-3437-9
DOI :
10.1109/APEDE.2014.6958214
