Discriminating fire detection via support vector machines

Lecture Notes in Control and Information Sciences

Volumn 344, Issue , 2006, Pages 176-181

  Wang, Heshou ^a,b   Zheng, Shuibo ^b   Chen, Chi ^b   Yang, Wenbin ^b   Wu, Lei ^b   Cheng, Xin ^b   Fei, Minrui ^a   Hu, Chuanping ^b  

^a SHANGHAI UNIVERSITY   (China)

^b INSTITUTE OF FORENSIC SCIENCE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON MONOXIDE; SUPPORT VECTOR MACHINES;

CARBON MONOXIDE SENSOR; FIRE DETECTION; FLAMING FIRES; MULTI SENSOR; MULTI-SENSOR DETECTION; SMOKE TEMPERATURE; SMOLDERING FIRES; SUPPORT VECTORS MACHINE;

FIRES;

EID: 33748946539     PISSN: 01708643     EISSN: None     Source Type: Book Series    
DOI: 10.1007/11816492_24     Document Type: Conference Paper

References (11)

1. Grosshandler, W.L.: A Review of Measurements and Candidate Signatures for Early Fire Detection, NISTIR 5555, Gaithersburg, MD, National Institute of Standards and Technology, (1995)
2. Thuillard, M.: New Methods for Reducing the Number of False Alarms in Fire Detection Systems, Fire Technology, 30(2) (1994) 250-268
3. th International Conference on Fire Detection-AUBE'95, Duisberg Germany, April 4, (1995)
4. Pfister, G.: Multisensor/Multicritera Fire Detection: A New Trend Rapidly Becomes State of the Art, Fire Technology, 33(2) (1997) 99-114
5. Okayama, Y.: A Primitive Study of a Fire Detection Medthod Controlled by Artificial Neural Net. Fire Safety Journal, 17(6) (1991) 535-553
6. Hall, J.R.: The Latest Statistics on U.S. Home Smoke Detectors, Fire Journal, 83(1) (1989) 39-41
7. Vapnik, V.N.: Statistical Learning Theory. New York: Wiley, (1998)
8. Van, G.T.: Financial Time Series Prediction Using Least Squares Support Vector Machines within the Evidence Framework, IEEE Transactions on Neural Networks, July, v12(4) (2001) 809-821
9. Vapnik, V.N.: An Overview of Statistical Learning Theory, IEEE Trans. Neural Network, 10(5) (1999) 988-999
10. Smola, J., Schölkopf, B.: A Tutorial on Support Vector Regression. NeuroCOLT2 Technical Report Series, Royal Holloway College, University of London, UK, (1998)
11. Duric, Petar M.: Model Selection by Cross-Validation. IEEE International Symposium on Circuits and Systems. (1990) 2760-2763