An improved CBAM model based on Aihara neuron

Authors :: Liang Wei
Zhang Xing-hui
Liu Ling
Source :: 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).
Publication Year :: 2010
Publisher :: IEEE, 2010.
Abstract: In this paper we design a Chaos Bidirectional Associative Memory (CBAM) network model based on Aihara chaos neuron for its sensitivity to noise. It includes an inside associative memory construct on its every layer. The simulation shows that the model improves the anti-noise ability of the BAM effectively.

Subjects :: CHAOS (operating system)
Noise
Artificial neural network
Computer science
business.industry
Content-addressable storage
Bidirectional associative memory
Sensitivity (control systems)
Artificial intelligence
Content-addressable memory
business
Network model

Database :: OpenAIRE
Journal :: 2010 International Conference on Computer Application and System Modeling (ICCASM 2010)
Accession number :: edsair.doi...........da5013ba0f3869a7d21ab3b8bb07b006

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