Abstract
Derived from biological olfactory systems, an olfactory model entitled KIII was setup. Different from the conventional artificial neural networks, the KIII model works in a chaotic way similar to biological olfactory systems. As one kind of chaotic neural network, KIII network can be used as a general classifier needing much fewer training times in comparison with other artificial neural networks. The experiments to apply the novel neural network to recognition of handwriting numerals, classification of Mandarin spoken digits, recognition of human face and classi- fication of normal and hypoxia EEG have been carried out. Based on KIII models, an application of electronic nose on tea classification was explored. Hopefully, the K set models will make electronic noses more bionically.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Chang, H. J., Freeman, W.J.: Parameter optimization in models of the olfactory neural system, Neural Networks, 9, 1–14((1996)
Chang, H. J., Freeman, W. J.: Biologically modeled noise stabilizing neurodynamics for pattern recognition, Int. J. Bifurcation and Chaos, 8, 321–345((1998)
Freeman, W. J., Chang, H. J., Burke, B. C., Rose, P. A., Badler, J.: Taming chaos: Stabilization of aperiodic attractors by noise, IEEE Trans. Circuits Sys., 44, 989–996 ((1997)
Freeman, W. J.:Noise-induced first-order phase transitions in chaotic basin activity, Int. J. Bifurcation and Chaos 9, 2215–2218 ((1999)
Freeman, W. J.:Neurodynamics- An Exploration in Mesoscopic Brain Dynamics. Springer-Verlag, London (2000)
Freeman, W. J.:A proposed name for aperiodic brain activity: stochastic chaos, Neural Networks, 13, 11–13 ((2000)
Freeman, W. J., Kozma, R.:Biocomplexity: adaptive behavior in complex stochastic dynamicsystems, Biosystems, 59, 109–123 ((2001)
Fu, J., Li, G., Qin, Y., Freeman, W. J.:A pattern recognition method for electronic noses based on an olfactory neural network, Sensors and Actuators B, (in press)
Hagan, M. T., Demuth, H. B., Beale, M. H.:Neural Network Design. PWS Publishing, Boston (1996)
Haralick, R. M., Linda, G. S.: Computer and Robot Vision, Vol. I. Addison-Wesley (1992)
Hebb, D. O.: The Organization of Behavior. John Wiley & Sons, New York (1949)
Hu, M., Li, J., Li, G., Tang, X., Freeman, W. J.: Normal and Hypoxia EEG Recognition Based on a Chaotic Olfactory Model. In:Wang, J., Yi, Z., Zurada, J. M., et al. (ed) Advances in Neural Networks. Lecture Notes in Computer Science, 3973, 554–559, Springer-Verlag, Berlin Heidelberg New York (2006)
Kozma, R., Freeman, W. J.: Chaotic resonance - methods and applications for robust classifi-cation of noisy and variable patterns, Int. J. Bifurcation and Chaos, 11, 1607– 1629 ((2001)
Li, X., Li, G., Wang, L., Freeman, W. J.: A study on a Bionic Pattern Classifier Based on Olfactory Neural System, Int. J. Bifurcation Chaos., 16, 2425–2434 ((2006)
Li, G., Lou, Z., Wang, L., Li, X., Freeman, W. J.: Application of Chaotic Neural Model Based on Olfactory System on Pattern Recognitions. In: Wang, L., Chen, K., Ong, Y. S. (ed) Advances in Natural Computation. Lecture Notes in Computer Science, 3610, 378–381, Springer-Verlag, Berlin Heidelberg New York (2005)
Li, G., Zhang, J., Wang, Y., Freeman, W. J.: Face Recognition Using a Neural Network Simulating Olfactory Systems. In: Wang, J., Yi, Z., Zurada, J. M., et al. (ed) Advances in Neural Networks. Lecture Notes in Computer Science, 3972, 93–97, Springer-Verlag, Berlin Heidelberg New York (2006)
Pratt, W. K.: Digital Image Processing. John Wiley & Sons, Inc. (1991)
Yang, X., Fu, J., Lou, Z., Wang, L., Li, G., Freeman, W. J.: Tea Classification Based on Arti-ficial Olfaction Using Bionic Olfactory Neural Networks. In: Wang, J., Yi, Z., Zurada, J. M., et al. (ed) Advances in Neural Networks. Lecture Notes in Computer Science, 3972, 343–348, Springer-Verlag, Berlin Heidelberg New York (2006)
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Li, G., Zhang, J., Freeman, W.J. (2007). Engineering Applications of Olfactory Model from Pattern Recognition to Artificial Olfaction. In: Perlovsky, L.I., Kozma, R. (eds) Neurodynamics of Cognition and Consciousness. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73267-9_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-73267-9_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73266-2
Online ISBN: 978-3-540-73267-9
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)