Handwriting character classification using Freeman’s olfactory KIII model-Reference-Cited by-同舟云学术

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Handwriting character classification using Freeman’s olfactory KIII model

Published:2012-08-28 Issue:2 Volume:17 Page:227-232
ISSN:1433-5298
Container-title:Artificial Life and Robotics
language:en
Short-container-title:Artif Life Robotics

Author:

Obayashi Masanao,Koga Shinnosuke,Feng Liang-Bing,Kuremoto Takashi,Kobayashi Kunikazu

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology

Link

http://link.springer.com/content/pdf/10.1007/s10015-012-0047-z.pdf

Reference8 articles.

1. Hung-Jen Chang, Walter J. Freeman, Brian C. Burke, Optimization of olfactory model in software to give 1/f power spectra reveals numerical instabilities in solutions governed by aperiodic (chaotic) attractors, Neural Networks 11, pp 449-466 (1998)

2. Jun Fu, Guang Li, Yuqi Qin, Walter J. Freeman, A pattern recognition method for electronic noses based on an olfactory neural network, Sensors and Actuators B 125, pp 485-497 (2007)

3. Chang. H.J., Freeman W.J., Biologically Modeled Noise Stabilizing Neurodynamics for Pattern Recognition, Int J of Bifurcation and Chaos, 8(2) pp 321-345 (1998)

4. Xinling Yang, Jun Fu, Zhengguo Lou, Liyu Wang, Guang I, Walter J. Freeman, Tea Classification Based on Artificial Olfaction Using Bionic Olfactory Neural Network, NCS, pp 343-348 (2006)

5. Freeman WJ (1987) Simulation of Chaotic EEG Pattern with a Dynamic Model of the Olfactory System. Biol Cybern 56:139–150

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2. Analysis of the dynamics of the olfactory evoked EEG responses generated by the brain and e-nose under natural and synthetic odorant stimulations;International Journal of Computational Science and Engineering;2022

3. Understanding the nonlinear dynamics of seizure and sleep EEG patterns generated using hierarchical chaotic neuronal network;International Journal of Computational Science and Engineering;2022

4. Non-linear Analysis of Time Series Generated from the Freeman K-Set Model;Cognitive Informatics and Soft Computing;2018-08-12

5. Mental Task Recognition by EEG Signals: A Novel Approach with ROC Analysis;Human-Robot Interaction - Theory and Application;2018-07-04

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