Title :
Rapid prototyping of artificial neural networks
Author :
Mazón, A.J. ; Zamora, I. ; Valverde, V. ; Eguia, P.
Author_Institution :
Univ. of the Basque Country, Bilbao
Abstract :
An artificial neural network can be tested by software simulation or by hardware implementation. In this paper "rapid prototyping techniques" are presented as an intermediate step in this implementation. The application of these techniques on artificial neural networks is analyzed working in the Matlab/xPC target environment. In addition, some developed artificial neural network prototypes and its application in the field of electrical engineering are presented.
Keywords :
electronic engineering computing; neural nets; rapid prototyping (industrial); software prototyping; artificial neural networks; electrical engineering; rapid prototyping techniques; Application software; Artificial neural networks; Biological neural networks; Brain modeling; Electrical engineering; Mathematical model; Neurons; Power system simulation; Prototypes; Software prototyping; artificial neural network; rapid-prototyping; real-time simulation;
Conference_Titel :
Power Tech, 2005 IEEE Russia
Conference_Location :
St. Petersburg
Print_ISBN :
978-5-93208-034-4
Electronic_ISBN :
978-5-93208-034-4
DOI :
10.1109/PTC.2005.4524549
