A robust cellular associative memory for pattern recognitions using composite trigonometric chaotic neuron models
This paper presents a robust cellular associative memory for pattern recognitions using composite trigonometric chaotic neuron models. Robust chaotic neurons are designed through a scan of positive Lyapunov Exponent (LE) bifurcation structures, which indicate the quantitative measure of chaoticity...
Main Author: | Wimol San-Um |
---|---|
Format: | Article |
Language: | English |
Published: |
Prince of Songkla University
2015-12-01
|
Series: | Songklanakarin Journal of Science and Technology (SJST) |
Subjects: | |
Online Access: | http://rdo.psu.ac.th/sjstweb/journal/37-6/37-6-9.pdf |
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