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Proceedings Paper

Fast learning method for RAAM based on sensitivity analysis
Author(s): A. Barcz
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Paper Abstract

This article presents a novel combination of the Recursive Auto-Associative Memory model with the Sensitivity- Based Linear Learning Method. Training results on the syntactic trees dataset are presented, confirming that the application of the SBLLM method to the RAAM model results in very fast learning and yields clustering results of the same quality as the original RAAM model.

Paper Details

Date Published: 25 November 2014
PDF: 9 pages
Proc. SPIE 9290, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2014, 92902R (25 November 2014); doi: 10.1117/12.2074625
Show Author Affiliations
A. Barcz, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 9290:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2014
Ryszard S. Romaniuk, Editor(s)

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