-
1
-
-
80052695349
-
The role of mathematical modeling in VOC analysis using isoprene as a prototypic example
-
1752-7155 037102
-
Koc H, King J, Teschl G, Unterkofler1 K, Teschl S, Mochalski P, Hinterhuber H and Amann A 2011 The role of mathematical modeling in VOC analysis using isoprene as a prototypic example J. Breath Res. 5 037102
-
(2011)
J. Breath Res.
, vol.5
-
-
Koc, H.1
King, J.2
Teschl, G.3
Unterkoflerl, K.4
Teschl, S.5
Mochalski, P.6
Hinterhuber, H.7
Amann, A.8
-
2
-
-
83555169084
-
Artificial neural networks modeling for hydrocarbon gas viscosity and density estimation
-
10.1016/j.jksues.2011.03.004 1018-3639
-
AlQuraishi A A and Shokir E M 2011 Artificial neural networks modeling for hydrocarbon gas viscosity and density estimation J. King Saud Univ. Eng. Sci. 23 123-9
-
(2011)
J. King Saud Univ. Eng. Sci.
, vol.23
, Issue.2
, pp. 123-129
-
-
Alquraishi, A.A.1
Shokir, E.M.2
-
3
-
-
19944379130
-
Micro gas sensor array with neural network for recognizing combustible leakage gases
-
DOI 10.1109/JSEN.2005.845186
-
Lee D-S, Ban S-W, Lee M and Lee D-D 2005 Micro gas sensor array with neural network for recognizing combustible leakage gases IEEE Sens. J. 5 530-6 (Pubitemid 40751346)
-
(2005)
IEEE Sensors Journal
, vol.5
, Issue.3
, pp. 530-536
-
-
Lee, D.-S.1
Ban, S.-W.2
Lee, M.3
Lee, D.-D.4
-
4
-
-
34247581710
-
Quantitative gas mixture analysis using temperature-modulated micro-hotplate gas sensors: Selection and validation of the optimal modulating frequencies
-
DOI 10.1016/j.snb.2006.11.010, PII S0925400506007556
-
Vergara A, Llobet E, Brezmes J, Ivanov P, Cané C, Gràcia I, Vilanova X and Correig X 2007 Quantitative gas mixture analysis using temperature-modulated micro-hotplate gas sensors: selection and validation of the optimal modulating frequencies Sensors Actuators B 123 1002-16 (Pubitemid 46678793)
-
(2007)
Sensors and Actuators, B: Chemical
, vol.123
, Issue.2
, pp. 1002-1016
-
-
Vergara, A.1
Llobet, E.2
Brezmes, J.3
Ivanov, P.4
Cane, C.5
Gracia, I.6
Vilanova, X.7
Correig, X.8
-
5
-
-
49549119574
-
Wireless electronic nose system for real-time quantitative analysis of gas mixtures using micro-gas sensor array and neuro-fuzzy network
-
10.1016/j.snb.2008.04.019 0925-4005 B
-
Cho J H, Kim Y W, Na K J and Jeon G J 2008 Wireless electronic nose system for real-time quantitative analysis of gas mixtures using micro-gas sensor array and neuro-fuzzy network Sensors Actuators B 134 104-11
-
(2008)
Sensors Actuators
, vol.134
, Issue.1
, pp. 104-111
-
-
Cho, J.H.1
Kim, Y.W.2
Na, K.J.3
Jeon, G.J.4
-
6
-
-
68949166050
-
Pattern recognition for sensor array signals using Fuzzy ARTMAP
-
10.1016/j.snb.2009.06.046 0925-4005 B
-
Xu Z, Shi X, Wang L, Luo J, Zhong C-J and Lu S 2009 Pattern recognition for sensor array signals using Fuzzy ARTMAP Sensors Actuators B 141 458-64
-
(2009)
Sensors Actuators
, vol.141
, Issue.2
, pp. 458-464
-
-
Xu, Z.1
Shi, X.2
Wang, L.3
Luo, J.4
Zhong, C.-J.5
Lu, S.6
-
7
-
-
0038578361
-
Verification of a logarithmic model for estimation of gas concentrations in a mixture for a tin oxide gas sensor response
-
10.1016/S0925-4005(03)00311-3 0925-4005 B
-
Hirobayashi S, Kadir M A, Yoshizawa T and Yamabuchi T 2003 Verification of a logarithmic model for estimation of gas concentrations in a mixture for a tin oxide gas sensor response Sensors Actuators B 92 269-78
-
(2003)
Sensors Actuators
, vol.92
, Issue.3
, pp. 269-278
-
-
Hirobayashi, S.1
Kadir, M.A.2
Yoshizawa, T.3
Yamabuchi, T.4
-
8
-
-
0035875990
-
Application of artificial neural networks to calculate the partial gas concentrations in a mixture
-
DOI 10.1016/S0925-4005(01)00736-5, PII S0925400501007365
-
Martín M A, Santos J P and Agapito J A 2001 Application of artificial neural networks to calculate the partial gas concentrations in a mixture Sensors Actuators B 77 468-71 (Pubitemid 32544387)
-
(2001)
Sensors and Actuators, B: Chemical
, vol.77
, Issue.1-2
, pp. 468-471
-
-
Martin, M.A.1
Santos, J.P.2
Agapito, J.A.3
-
9
-
-
33747096301
-
Identification of gas mixtures by a distributed support vector machine network and wavelet decomposition from temperature modulated semiconductor gas sensor
-
DOI 10.1016/j.snb.2005.11.037, PII S0925400505009238
-
Ge H and Liu J 2006 Identification of gas mixtures by a distributed support vector machine network and wavelet decomposition from temperature modulated semiconductor gas sensor Sensors Actuators B 117 408-14 (Pubitemid 44302074)
-
(2006)
Sensors and Actuators, B: Chemical
, vol.117
, Issue.2
, pp. 408-414
-
-
Ge, H.1
Liu, J.2
-
10
-
-
79251620119
-
3 gas sensing array and least squares support vector regression
-
10.3390/s110100485 1424-8220
-
3 gas sensing array and least squares support vector regression Sensors 11 485-505
-
(2011)
Sensors
, vol.11
, Issue.1
, pp. 485-505
-
-
Song, K.1
Wang, Q.2
Liu, Q.3
Zhang, H.4
Cheng, Y.5
-
11
-
-
67349097074
-
Classification of data from electronic nose using relevance vector machines
-
10.1016/j.snb.2009.04.030 0925-4005 B
-
Wang X, Ye M and Duanmu C J 2009 Classification of data from electronic nose using relevance vector machines Sensors Actuators B 140 143-8
-
(2009)
Sensors Actuators
, vol.140
, Issue.1
, pp. 143-148
-
-
Wang, X.1
Ye, M.2
Duanmu, C.J.3
-
12
-
-
36448942212
-
Recognizing indoor formaldehyde in binary gas mixtures with a micro gas sensor array and a neural network
-
DOI 10.1088/0957-0233/18/9/034, PII S0957023307486866
-
Lv P, Tang Z, Wei G, Yu J and Huang Z 2007 Recognizing indoor formaldehyde in binary gas mixtures with a micro gas sensor array and a neural network Meas. Sci. Technol. 18 2997-3004 (Pubitemid 350163588)
-
(2007)
Measurement Science and Technology
, vol.18
, Issue.9
, pp. 2997-3004
-
-
Lv, P.1
Tang, Z.2
Wei, G.3
Yu, J.4
Huang, Z.5
-
13
-
-
33846658675
-
A study on transient and steady state sensor data for identification of individual gas concentrations in their gas mixtures
-
DOI 10.1016/j.snb.2006.04.100, PII S0925400506003625
-
Gulbag A and Temurtas F 2007 A study on transient and steady state sensor data for identification of individual gas concentrations in their gas mixtures Sensors Actuators B 121 590-9 (Pubitemid 46188682)
-
(2007)
Sensors and Actuators, B: Chemical
, vol.121
, Issue.2
, pp. 590-599
-
-
Gulbag, A.1
Temurtas, F.2
-
14
-
-
77957588304
-
Application of a sensor array based on capillary-attached conductive gas sensors for odor identification
-
0957-0233 085204
-
Bahraminejad B, Basri S, Isa M and Hambali Z 2010 Application of a sensor array based on capillary-attached conductive gas sensors for odor identification Meas. Sci. Technol. 21 085204
-
(2010)
Meas. Sci. Technol.
, vol.21
, Issue.8
-
-
Bahraminejad, B.1
Basri, S.2
Isa, M.3
Hambali, Z.4
-
15
-
-
79956161144
-
Concentration measurement systems with stable solutions for binary gas mixtures using two flowmeters
-
0957-0233 065401
-
Youn C, Kawashima K and Kagawa T 2011 Concentration measurement systems with stable solutions for binary gas mixtures using two flowmeters Meas. Sci. Technol. 22 065401
-
(2011)
Meas. Sci. Technol.
, vol.22
, Issue.6
-
-
Youn, C.1
Kawashima, K.2
Kagawa, T.3
-
17
-
-
33745903481
-
Extreme learning machine: Theory and applications
-
DOI 10.1016/j.neucom.2005.12.126, PII S0925231206000385
-
Huang G-B, Zhu Q-Y and Siew C-K 2006 Extreme learning machine: theory and applications Neurocomputing 70 489-501 (Pubitemid 44615772)
-
(2006)
Neurocomputing
, vol.70
, Issue.1-3
, pp. 489-501
-
-
Huang, G.-B.1
Zhu, Q.-Y.2
Siew, C.-K.3
-
18
-
-
33745918399
-
Universal approximation using incremental constructive feedforward networks with random hidden nodes
-
DOI 10.1109/TNN.2006.875977
-
Huang G-B, Chen L and Siew C-K 2006 Universal approximation using incremental constructive feedforward networks with random hidden nodes IEEE Trans. Neural Netw. 17 879-92 (Pubitemid 44194149)
-
(2006)
IEEE Transactions on Neural Networks
, vol.17
, Issue.4
, pp. 879-892
-
-
Huang, G.-B.1
Chen, L.2
Siew, C.-K.3
-
19
-
-
34548158996
-
Convex incremental extreme learning machine
-
DOI 10.1016/j.neucom.2007.02.009, PII S0925231207000677
-
Huang G-B and Chen L 2007 Convex incremental extreme learning machine Neurocomputing 70 3056-62 (Pubitemid 47308612)
-
(2007)
Neurocomputing
, vol.70
, Issue.16-18
, pp. 3056-3062
-
-
Huang, G.-B.1
Chen, L.2
-
20
-
-
56549090053
-
Enhanced random search based incremental extreme learning machine
-
10.1016/j.neucom.2007.10.008 0925-2312
-
Huang G-B and Chen L 2008 Enhanced random search based incremental extreme learning machine Neurocomputing 71 3460-8
-
(2008)
Neurocomputing
, vol.71
, Issue.16-18
, pp. 3460-3468
-
-
Huang, G.-B.1
Chen, L.2
-
21
-
-
22844440904
-
Evolutionary extreme learning machine
-
DOI 10.1016/j.patcog.2005.03.028, PII S0031320305001809
-
Zhu Q-Y, Qin A K, Suganthan P N and Huang G-B 2005 Evolutionary extreme learning machine Pattern Recognit. 38 1759-63 (Pubitemid 41037107)
-
(2005)
Pattern Recognition
, vol.38
, Issue.10
, pp. 1759-1763
-
-
Zhu, Q.-Y.1
Qin, A.K.2
Suganthan, P.N.3
Huang, G.-B.4
-
22
-
-
78649492473
-
Optimization method based extreme learning machine for classification
-
10.1016/j.neucom.2010.02.019 0925-2312
-
Huang G-B, Ding X and Zhou H 2010 Optimization method based extreme learning machine for classification Neurocomputing 74 155-63
-
(2010)
Neurocomputing
, vol.74
, Issue.1-3
, pp. 155-163
-
-
Huang, G.-B.1
Ding, X.2
Zhou, H.3
-
23
-
-
51649098666
-
An enrichment method to detect low concentration formaldehyde
-
10.1016/j.snb.2008.07.010 0925-4005 B
-
Wang J, Liu L, Cong S-Y, Qi J-Q and Xu B-K 2008 An enrichment method to detect low concentration formaldehyde Sensors Actuators B 134 1010-15
-
(2008)
Sensors Actuators
, vol.134
, Issue.2
, pp. 1010-1015
-
-
Wang, J.1
Liu, L.2
Cong, S.-Y.3
Qi, J.-Q.4
Xu, B.-K.5
-
25
-
-
76949107085
-
Silicon-based micro-gas sensors for detecting formaldehyde
-
10.1016/j.snb.2008.12.056 0925-4005 B
-
Wang J, Zhang P, Qi J-Q and Yao P-J 2009 Silicon-based micro-gas sensors for detecting formaldehyde Sensors Actuators B 136 399-404
-
(2009)
Sensors Actuators
, vol.136
, Issue.2
, pp. 399-404
-
-
Wang, J.1
Zhang, P.2
Qi, J.-Q.3
Yao, P.-J.4
-
26
-
-
77953914573
-
Information-theoretic optimization of chemical sensors
-
10.1016/j.snb.2010.04.040 0925-4005 B
-
Vergara A, Muezzinoglu M K, Rulkov N and Huerta R 2010 Information-theoretic optimization of chemical sensors Sensors Actuators B 148 298-306
-
(2010)
Sensors Actuators
, vol.148
, Issue.1
, pp. 298-306
-
-
Vergara, A.1
Muezzinoglu, M.K.2
Rulkov, N.3
Huerta, R.4
-
27
-
-
78649659993
-
Convergence analysis of online gradient method for BP neural networks
-
10.1016/j.neunet.2010.09.007 0893-6080
-
Wu W, Wang J, Cheng M and Li Z 2011 Convergence analysis of online gradient method for BP neural networks Neural Netw. 24 91-8
-
(2011)
Neural Netw.
, vol.24
, Issue.1
, pp. 91-98
-
-
Wu, W.1
Wang, J.2
Cheng, M.3
Li, Z.4
-
28
-
-
67649385962
-
Boundedness and convergence of online gradient method with penalty for feedforward neural networks
-
10.1109/TNN.2009.2020848 1045-9227
-
Zhang H, Wu W, Liu F and Yao M 2009 Boundedness and convergence of online gradient method with penalty for feedforward neural networks IEEE Trans. Neural Netw. 20 1050-4
-
(2009)
IEEE Trans. Neural Netw.
, vol.20
, Issue.6
, pp. 1050-1054
-
-
Zhang, H.1
Wu, W.2
Liu, F.3
Yao, M.4
|