DocumentCode
787192
Title
Solving a placement problem by means of an analog neural network
Author
Kita, Hajime ; Odani, Hideyuki ; Nishikawa, Yoshikazu
Author_Institution
Dept. of Electr. Eng., Kyoto Univ., Japan
Volume
39
Issue
6
fYear
1992
fDate
12/1/1992 12:00:00 AM
Firstpage
543
Lastpage
551
Abstract
The effectiveness of the Hopfield model is examined through its application to a circuit block placement problem. The results of computer simulation show that, although the Hopfield model is not effective enough if it is used without sophisticated preexamination of combinatorial problems, it has the ability to yield quite satisfactory solutions when it is endowed with an appropriate form and parameters of the energy function. The meaning of appropriate parameter values yielding good solutions is also investigated theoretically
Keywords
Hopfield neural nets; circuit layout CAD; Hopfield model; analog neural network; circuit block placement problem; computer simulation; energy function; Analog computers; Application software; Circuits; Computer networks; Computer simulation; Design optimization; Hopfield neural networks; Large scale integration; Neural networks; Neurons;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/41.170974
Filename
170974
Link To Document