Title :
An investigation on local minima of a Hopfield network for optimization circuits
Author :
Lee, Bang W. ; Sheu, Bing J.
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
The Hopfield architecture can be utilized in the VLSI implementation of several important optimization functions. A description is given of the properties of local minima in the energy function of Hopfield networks. A novel design technique to eliminate such local minima has been developed. The neural-based analog-to-digital converter is used as an example to demonstrate this design technique. Experimental results agree well with theoretical calculations on the output characteristics of the analog-to-digital converter.<>
Keywords :
VLSI; analogue-digital conversion; network synthesis; neural nets; optimisation; ADC; Hopfield network; VLSI; energy function; local minima; neural nets; neural-based analog-to-digital converter; optimization circuits; Analog-digital conversion; Circuit synthesis; Neural networks; Optimization methods; Very-large-scale integration;
Conference_Titel :
Neural Networks, 1988., IEEE International Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/ICNN.1988.23827
