Title :
Plant identification by som neural networks
Author :
Fatehi, Alireza ; Abe, Kenichi
Author_Institution :
Dept. of Electr. Eng., Tohoku Univ., Sendai, Japan
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
A method for Multiple identification based on the self-organizing map neural networks is presented and some of its properties is investigated. Inputs to the NN are instantaneous parameters and so the reference vectors of the networks outputs are the parameter estimation of the multiple models.
Keywords :
parameter estimation; self-organising feature maps; NN; SOM neural networks; parameter estimation; plant identification; self-organizing map neural networks; Adaptation models; Computational modeling; Histograms; Mathematical model; Neurons; Noise; Parameter estimation; Identification; Multiple modeling; Neural networks; SOM; Time-variant plants;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
