Neural network sensitivity analysis applied for the reduction of the sensor matrix
Publication
, Journal Article
Szecówka, PM; Szczurek, A; Mazurowski, MA; Licznerski, BW; Pichler, F
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2005
The neural network sensitivity analysis, involving neural network training and the calculation of its outputs derivative on inputs, was applied to select the least significant sensor in the multicomponont gas mixtures annlysis system. The sensitivity analysis results, collected for various neural network structures wore compared with the real significances of the sensors, determined experimentally. The question of the influence of the correlation of the input vector elements on the analysis results was also illustrated and discussed. © Springer-Verlag Berlin Heidelberg 2005.
Duke Scholars
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
January 1, 2005
Volume
3643 LNCS
Start / End Page
27 / 32
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Szecówka, P. M., Szczurek, A., Mazurowski, M. A., Licznerski, B. W., & Pichler, F. (2005). Neural network sensitivity analysis applied for the reduction of the sensor matrix. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3643 LNCS, 27–32. https://doi.org/10.1007/11556985_5
Szecówka, P. M., A. Szczurek, M. A. Mazurowski, B. W. Licznerski, and F. Pichler. “Neural network sensitivity analysis applied for the reduction of the sensor matrix.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3643 LNCS (January 1, 2005): 27–32. https://doi.org/10.1007/11556985_5.
Szecówka PM, Szczurek A, Mazurowski MA, Licznerski BW, Pichler F. Neural network sensitivity analysis applied for the reduction of the sensor matrix. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005 Jan 1;3643 LNCS:27–32.
Szecówka, P. M., et al. “Neural network sensitivity analysis applied for the reduction of the sensor matrix.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3643 LNCS, Jan. 2005, pp. 27–32. Scopus, doi:10.1007/11556985_5.
Szecówka PM, Szczurek A, Mazurowski MA, Licznerski BW, Pichler F. Neural network sensitivity analysis applied for the reduction of the sensor matrix. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005 Jan 1;3643 LNCS:27–32.
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
January 1, 2005
Volume
3643 LNCS
Start / End Page
27 / 32
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences