DocumentCode :
2617717
Title :
Artificial neural network for testing analog circuits
Author :
Starzyk, Janusz A. ; El-Gamal, Mohamed A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA
fYear :
1990
fDate :
1-3 May 1990
Firstpage :
1851
Abstract :
A method for testing analog circuits with the aid of neural networks is described. It takes advantage of the high parallel information processing capabilities of these networks. The testing problem is efficiently formulated in a neural-network context. A back-propagation neural network and a functional link net have been trained to synthesize the complicated mapping from the circuit measurements space to the circuit elements space. A testing example is presented to demonstrate the proposed method
Keywords :
analogue circuits; learning systems; neural nets; analog circuits; back-propagation; circuit elements space; circuit measurements space; mapping; neural-network context; parallel information processing capabilities; testing; Analog circuits; Artificial neural networks; Circuit faults; Circuit synthesis; Circuit testing; Extraterrestrial measurements; Fault diagnosis; Information processing; Network synthesis; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/ISCAS.1990.112022
Filename :
112022
Link To Document :
بازگشت