DocumentCode :
492890
Title :
Parametrical synthesis of neural network models based on the evolutionary optimization
Author :
Oleynik, Alexey ; Subbotin, Sergey
Author_Institution :
Dept. of Software, Zaporozhye Nat. Tech. Univ., Zaporozhye, Ukraine
fYear :
2009
fDate :
24-28 Feb. 2009
Firstpage :
335
Lastpage :
338
Abstract :
The problem of parametrical synthesis of neural network models is considered. The evolutionary method with using the aprioristic information for neural network training is developed. Experiments on neural models synthesis for medical diagnostics are lead.
Keywords :
evolutionary computation; neural nets; neurophysiology; evolutionary optimization; medical diagnostics; neural network models; neural network training; parametrical synthesis; Biological cells; Genetic mutations; Gradient methods; Management training; Network synthesis; Neural networks; Neurons; Optimization methods; Stochastic processes; Transfer functions; Evolutionary optimization; Model; Neural Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
CAD Systems in Microelectronics, 2009. CADSM 2009. 10th International Conference - The Experience of Designing and Application of
Conference_Location :
Lviv-Polyana
Print_ISBN :
978-966-2191-05-9
Type :
conf
Filename :
4839845
Link To Document :
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