A new application of soft-computing theory to conducting polymer sensors: a pH estimation study

被引：0
|
作者：
Talaie, A
Mirhosseini, AR
Romagnoli, J
Taguchi, T
机构：
[1] Osaka Natl Res Inst, Dept Organ Mat, Lab Polymer Surface Chem, Ikeda, Osaka 563, Japan
[2] Univ Sydney, ICI Lab Proc Syst Engn Chem Engn, Sydney, NSW 2006, Australia
[3] Univ Sydney, Dept Elect Engn, Imaging Sci & Engn Lab, Sydney, NSW 2006, Australia
[4] Osaka Natl Res Inst, Dept Organ Mat, Lab Polymer Surface Chem, Ikeda, Osaka 563, Japan
来源：
COMPUTATIONAL AND THEORETICAL POLYMER SCIENCE | 1998年 / 8卷 / 3-4期
关键词：
computational operations; fuzzy method; conducting polymer composite;
D O I：
10.1016/S1089-3156(98)00031-2
中图分类号：
O63 [高分子化学（高聚物）];
学科分类号：
070305 ; 080501 ; 081704 ;
摘要：
The application of a computation technique to interpret data was considered. A model that well defined the dynamic nature of a polymeric sensing electrode was also introduced. A general approach to qualitative modelling based on fuzzy logic was discussed. Then the use of the fuzzy clustering method to identify the pH of a chemical environment, using a conducting polymer electrode, was proposed. The role of cluster numbers, the number and the nature of data in creating a linear model was also examined. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：291 / 295
页数：5
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