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