DocumentCode
298816
Title
VLSI-compatible cellular neural networks with optimal solution capability for optimization
Author
Sheu, Bing J. ; Chang, Robert C. ; Wu, Tony H. ; Bang, Sa H.
Author_Institution
Dept. of Electr. Eng. & Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
Volume
2
fYear
1995
fDate
30 Apr-3 May 1995
Firstpage
1165
Abstract
The hardware annealing method is effective on finding the optimal solutions for selected cellular neural network applications. The method is presented and analyzed in terms of the generalized energy which corresponds to the cost function in optimization problems. The network stability property and parameters in annealed neural networks are described to serve as a guideline for practical applications
Keywords
VLSI; cellular neural nets; circuit optimisation; neural chips; simulated annealing; VLSI; cellular neural networks; cost function; generalized energy; hardware annealing; optimization; stability; Annealing; Cellular neural networks; Cost function; Eigenvalues and eigenfunctions; Neural network hardware; Neural networks; Neurons; Piecewise linear techniques; Symmetric matrices; Time varying systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2570-2
Type
conf
DOI
10.1109/ISCAS.1995.520351
Filename
520351
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