Study of the Kohonen network with a discrete state space

Patrick Thiran and Martin Hasler

Mathematics and Computers in Simulation (MATCOM), 1995, vol. 38, issue 1, 189-197

Abstract: Digital (or mixed mode) circuit implementations of neural networks bring one major modification to their ideal, defectless models: quantization of the weights dynamics. Would this modification completely perturb the behavior of the network, it will never be possible to implement it on a digital (or mixed mode) VLSI chip. Clearly, the analysis of quantization effects is crucial for practical applications. It has been mainly studied for Hopfield networks and multi-layer networks.

Keywords: Self-organisation; Kohonen neural network; Quantization effects; Digital VLSI implementation; Markov chains (search for similar items in EconPapers)
Date: 1995
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:38:y:1995:i:1:p:189-197

DOI: 10.1016/0378-4754(93)E0082-G

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