Adaptive spline modelling of observation data (ASMOD): A solution to the problems in conducting polymer-based sensors

被引：10
|
作者：
Talaie, A [1 ]
Shahri, AM [1 ]
Talaie, F [1 ]
机构：
[1] UNIV WOLLONGONG,DEPT ELECT & COMP ENGN,WOLLONGONG,NSW 2522,AUSTRALIA
来源：
SYNTHETIC METALS | 1996年 / 79卷 / 01期
关键词：
sensors; neuro-fuzzy modelling; data processing; dynamic pattern; models;
D O I：
10.1016/0379-6779(96)80132-9
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The development of conducting polymer sensors is a multi-dimensional task. It requires the design of intelligent data processing that controls the dynamic behaviour of the polymer. It also needs a smart computerized system by which a dynamic model can be created to predict, correctly, the dynamic character of 'unstable' conducting polymer sensors. Using an adaptive neuro-fuzzy modelling method, it is possible to design such a computerized processing system by which a pattern and a model can be predicted.
引用
收藏
页码：63 / 67
页数：5
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