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
fDate :
30 Apr-3 May 1995
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;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.520351
