Combining genetic algorithms and neural networks to build a signal pattern classifier

Neurocomputing

Volumn 61, Issue 1-4, 2004, Pages 39-56

  Youssif, Roshdy S ^a   Purdy, Carla N ^a  

^a University of Cincinnati   (United States)

Author keywords

Decision trees; Genetic algorithms; Neural networks; Pattern classification; Signal patterns

Indexed keywords

COSTS; DECISION MAKING; GENETIC ALGORITHMS; PARAMETER ESTIMATION; PATTERN RECOGNITION; SENSORS; TREES (MATHEMATICS);

FLEXIBILITY; HIGH-PERFORMANCE SIGNAL PATTERN CLASSIFIERS; LEARNING TECHNIQUES;

NEURAL NETWORKS;

ANALYTICAL PARAMETERS; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; CLUSTER ANALYSIS; COMPUTER PROGRAM; CONTROLLED STUDY; DECISION SUPPORT SYSTEM; ELECTROCARDIOGRAPHY; GENETIC ALGORITHM; HUMAN; LEARNING; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; SENSOR; SIGNAL NOISE RATIO; SIGNAL PROCESSING;

EID: 10244251598     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.03.003     Document Type: Article

References (25)

1. Abe S. Pattern Classification: Neuro-fuzzy Methods and Their Comparison 2001 Springer, Berlin
2. J. Bala, J. Huang, H. Vafaie, K. DeJong, H. Wechsler, Hybrid Learning Using Genetic Algorithms and Decision Trees for Pattern Classification. IJCAI, Montreal, 1995.
3. Courtesy of Electronic Sensor Technology. http://www.estcal.comperfumes.html.
4. C. Distante, P. Siciliano, A comparison between feature extraction methods of an electronic nose responses, The Eighth IEEE International Conference on Electronics, Circuits and Systems, Vol. 3, Malta, 2001, pp. 1243-1246.
5. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading MA, 1989.
6. Gutierrez-Osuna R. Pattern analysis for machine olfaction: A review IEEE Sensors J. 2 3 2002 189-202
7. Hassoun M.H. Fundamentals of Artificial Neural Networks 1995 MIT Press, Cambridge, MA
8. Herrera F. Lozano M. Verdegay J.L. Generating fuzzy rules from examples using genetic algorithm, in: Bouchon-Meunier B. Yager R.R. Zadeh L.A. (Eds.) Fuzzy Logic and Soft Computing 1995 11-20 World Scientific, Singapore
9. Hines E.L. Llobet E. Gardner J.W. Electronic noses: A review of signal processing techniques IEEE Proc. Circuits Dev. Systems 146 1999 297-310
10. C. Houck, J. Joines, M. Kay, A genetic algorithm for function optimization: A Matlab implementation Technical Report NCSU-IE TR 95-09, North Carolina State University, 1995.
11. Kermani B.G. Schiffman S.S. Nagle T. Using neural networks and genetic algorithms to enhance performance in an electronic nose IEEE Trans. Biomed. Eng. 4 4 1999 429-439
12. Lang M. Guo H. Odegard J. Burrus C. Wells R. Noise reduction using an undecimated discrete wavelet transform IEEE Signal Process. Lett. 3 1 1996 10-12
13. J. Li, The cyranose chemical vapor analyzer Sensors Magazine, www.sensorsmag.com 17 (8) (2000).
14. Nagle H.T. Schiffman S. Gutierrez-Osuna R. The how and why of electronic noses IEEE Spectrum 35 9 1998 22-31
15. M. Nakamura, I. Sugimoto, A neural network model for an electronic nose based on quartz-crystal microbalance sensors, Ninth IEEE International Conference on Artificial Neural Networks, Vol. 2, Edinburgh, 1999, pp. 649-654.
16. PhysioNet - the research resource for complex physiologic signals. http://www.physionet.org/.
17. Priebe C.E. Olfactory classification via interpoint distance analysis IEEE Trans. Pattern Anal. Mach. Intell. 23 4 2001 404-413
18. Quinlan J. Induction of decision trees Mach. Learning 1 1986 81-106
19. Ross T.J. Fuzzy Logic with Engineering Applications 1995 McGraw-Hill, New York
20. Spears W.M. De Jong K.A. Using genetic algorithms for supervised concept learning Mach. Learning 13 1993 161-188
21. E. Staples, Virtual chemical sensor arrays and high-resolution olfactory images - the zNose. Sensors Magazine, www.sensormag.com 18 (6) (2001).
22. G. Szekely, M.L. Padgett, G. Dozier, T.A. Roppel, Odor detection using pulse coupled neural networks. International Joint Conference on Neural Networks, Vol. 1, 1999, pp. 317-321.
23. The Rice Wavelet Toolbox (RWT). http://www-dsp.rice.edu/software/rwt.shtml
24. R.S. Youssif, C.N. Purdy, A multistrategy signal pattern classifier, 45th IEEE Midwest Symposium on Circuits and Systems, MWSCAS conference, Tulsa, Oklahoma, August 2002.
25. R.S. Youssif, C.N. Purdy, Fuzzy similarity measures for signal pattern classification. The 14th Midwest Artificial Intelligence and Cognitive Science Conference MAICS-2003, Cincinnati, OH, April 2003.