Simulated annealing and morphology neural networks

Jennifer L. Davidson

doi:10.1117/12.60637

1 June 1992 Simulated annealing and morphology neural networks

Jennifer L. Davidson

Proceedings Volume 1769, Image Algebra and Morphological Image Processing III; (1992) https://doi.org/10.1117/12.60637
Event: San Diego '92, 1992, San Diego, CA, United States

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.

Citation Download Citation

Jennifer L. Davidson "Simulated annealing and morphology neural networks", Proc. SPIE 1769, Image Algebra and Morphological Image Processing III, (1 June 1992); https://doi.org/10.1117/12.60637

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