Simulated annealing and morphology neural networks
- 1 June 1992
- proceedings article
- Published by SPIE-Intl Soc Optical Eng
- p. 119-127
- https://doi.org/10.1117/12.60637
Abstract
Artificial neural networks have proven to be quite useful for a variety of different applications. A recent addition to the arena of neural networks, morphology neural networks use a morphology-like operation as their basic nodal calculation, instead of the usual linear operation. Several morphology neural nets have been developed, and lattice-type learning rules have been used to train these networks. In this paper, we present a different kind of learning rule for morphology neural nets that is based on the simulated annealing algorithm. Simulated annealing has been applied to many different areas involving optimization.Keywords
This publication has 0 references indexed in Scilit: