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ESANN
2007

Pattern Recognition using Chaotic Transients

8 years 10 months ago
Pattern Recognition using Chaotic Transients
This paper proposes a novel nonlinear transient computation device described as the LTCM that uses the chaotic attractor provided by the Lorenz system of equations to perform pattern recognition. Previous work on nonlinear transient computation has demonstrated that such devices can process time varying input signals. This paper investigates the ability of the LTCM to correctly classify static, linearly inseperable data sets commonly used as benchmarks in the pattern recognition research community. The results from the LTCM are compared with those from support vector machines and multi-layer perceptrons on the same data sets.
Wee Jin Goh, Nigel Crook
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ESANN
Authors Wee Jin Goh, Nigel Crook
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