Neural network signal detection of an SO2 electrode

Sensors and Actuators, B: Chemical

Volumn 49 B49, Issue 3, 1998, Pages 186-194

  Syu, Mei Jywan ^a   Liu, Jwo Ying ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; SIGNAL DETECTION; SIGNAL FILTERING AND PREDICTION; SULFUR DIOXIDE; TRANSFER FUNCTIONS;

POLYANILINE/NAFION MEMBRANES; SATURATION-TYPE TRANSFER FUNCTIONS;

GAS SENSING ELECTRODES;

EID: 0032120324     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0925-4005(98)00119-1     Document Type: Article

References (39)

1. G. Bidan Electroconducting conjugated polymers: new sensitive matrices to build up chemical or electrochemical sensors. A review Sensors Actuators B 6 1992 45 56
2. W.S. Huang B.D. Humphrey A.G. MacDiarmid Polyaniline, a novel conducting polymer J. Chem. Soc. Faraday Trans. I 82 1986 2385
3. M. Ohira T. Sakai M. Takeuchi Y. Kobayashi Raman and infrared spectra of polyaniline Synth. Met. 18 1987 347 352
4. M. Lapkowski E.M. Genies Spectroelectrochemical studies of proton exchange processes in the electrochemical reactions of polyaniline using pH indicators J. Electroanal. Chem. Interf. Electrochem. 284 1990 127 140
5. J. Wu H. Mitsutoshi Research into normal temperature gas-sensitive characteristics of polyaniline material Sensors Actuators B 12 1993 11 13
6. S.L. Mu H.G. Xue B.D. Qian Bioelectrochemical responses of the polyaniline glucose oxidase electrode J. Electroanal. Chem. Interf. Electrochem. 304 1991 7 16
7. N.E. Agbor M.C. Petty A.P. Monkman Polyaniline thin films for gas sensing Sensors and Actuators B 28 1995 173 179
8. Z. Mandic L. Duic Polyaniline as an electrocatalytic material J. Electroanal. Chem. 403 1996 133 141
9. K. Amano H. Ishikawa A. Kabayashi M. Satoh E. Hasegawa Thermal stability of chemically synthesized polyaniline Synth. Met. 62 1994 229 232
10. T. Boschi G. Montesperelli P. Nunziante G. Pistoia Some aspect of the electrochemical growth of polyaniline films Solid State Ionics 31 1989 281 286
11. D.E. Stilwell S.M. Park Electrochemistry of conductive polymers. II. Electrochemical studies on growth properties of polyaniline J. Electrochem. Soc. 135 9 1988 2254 2262
12. D.E. Stilwell S.M. Park Electrochemistry of conductive polymers. III. Some physical and electrochemical properties observed from electrochemically grown polyaniline J. Electrochem. Soc. 135 10 1988 2491 2496
13. 4 ions J. Electrochem. Soc. 142 7 1995 2261 2265
14. 4 Synth. Met. 72 1995 217 223
15. D. Orata D.A. Buttry Determination of ion populations and solvent content as functions of redox state and pH in polyaniline J. Am. Chem. Soc. 109 1987 3574 3581
16. M. Fabrizio G. Mengoli M.M. Musiani F. Paolucci Electrochemical characterization of PANI-Nafion membranes and their electrocatalytic activity J. Electroanal. Chem. Interf. Electrochem. 300 1991 23 34
17. M. Fabrizio F. Furlanetto G. Mengoli M.M. Musiani F. Paolucci Polyaniline-based membranes for gas electrodes J. Electroanal. Chem. 323 1992 197 212
18. C. Barthet M. Guglielmi Mixed electronic and ionic conductors: A new route to Nafion-doped polyaniline J. Electroanal. Chem. 388 1995 35 44
19. 2 determination in air Sensors Actuators B 9 1992 59 62
20. K.M. Kost D.E. Bartak B. Kazee T. Kuwana Electrodeposition of platinum microparticles into polyaniline films with electrocatalytic applications Anal. Chem. 60 21 1988 2379 2384
21. J.W. Gardner E.L. Hines M. Wilkinson Application of artificial neural networks to an electronic olfactory system Means. Sci. Technol. 1 1990 446 451
22. T.H. Guo, J. Nurre, Sensor failure detection and recovery by neural networks, in: Proceedings of the International Joint Conference on Neural Networks, Vol. 1, 1991, pp. 221–226.
23. D. Brenner, J.C. Principe, K.L. Doty, Neural network classification of metal surface properties using a dynamic touch sensor, in: Proceedings of the International Joint Conference On Neural Networks, Vol. 1, 1991, pp. 189–194.
24. T. Nakamoto K. Fukunishi T. Moriizumi Identification capability of odor sensor using quartz-resonator array and neural-network pattern recognition Sensors Actuators B 1 1990 473 476
25. A. Lapedes, R. Farber, Los Alamos National Laboratory Report LA-UR-87-2662, 1987.
26. J. Thibault V. Vanbreusegem A. Cheruy On-line prediction of fermentation variables using neural networks Biotechnol. Bioeng. 36 1990 1041 1048
27. M.J. Syu G.T. Tsao G.D. Austin G. Celotto T. D'Amore Neural network modeling for predicting brewing fermentations J. Am. Soc. Brewing Chem. 52 1994 15 19
28. M. Syu, G. Tsao, A saturation-type transfer function for backpropagation network modeling of biosystems, in: Proceedings of the 1994 IEEE International Conference on Neural Networks, Orlando, FL, USA, June 27–July 2, 1994, IEEE Neural Networks Council, Vol. 5, p. 3265.
29. M.J. Syu, C.L. Hou, A neural network study on the dynamic identification of a fermentation system, Bioprocess Engineering 17 (1997) 203–213.
30. A. Jacobs Increased rates of convergence through learning rate adaptation Neural Networks 1 1988 295 307
31. Y. Hirose K. Yamashita S. Hijiya Backpropagation algorithm which varies the number of hidden units Neural Networks 4 1991 61 66
32. W.R. Foster F. Collopy L.H. Ungar Neural network forecasting of short, noisy time series Computers Chem. Eng. 16 4 1992 293 297
33. J.F. Pollard M.R. Broussand D.B. Gattison K.Y. San Process identification using neural networks Computers Chem. Eng. 16 4 1992 253 270
34. D.A. Hoskins J.N. Hwang J. Vagners Iterative inversion of neural networks and its application to adaptive control IEEE Trans. Neural Networks 3 2 1992 292 301
35. D. Psaltis A. Sideris A.A. Yamamura Multilayered neural network controller IEEE Control Syst. Mag. 8 2 1988 17 21
36. N. Bhat T.J. McAvoy Use of neural nets for dynamic modeling and control of chemical process systems Computers Chem. Eng. 14 1990 573 583
37. H.T. Su, T.J. McAvoy, Neural model predictive control of nonlinear chemical processes, in: Proceedings of the 1993 International Symposium on Intelligent Control, 1993, pp. 358–363.
38. H. Oh, F. Salam, 4×4×2 Neural network design using modular neural chips with on-chip learning, in: Proceedings of 1994 IEEE International Conference on Neural Networks, Orlando, FL, USA, June 27–July 2, 1994, IEEE Neural Networks Council, 4, pp. 2070–2073.
39. N. Kolmogorov On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition Dokl. Akad. Nauk. SSSR 114 1965 369 373