Application of a neurofuzzy system to identification of some classes of soft tissues utilizing experimental data

被引：0

作者：

Shirzi, M. A. ^{[1
]}

Nikooyan, A. A. ^{[2
]}

Yazdi, M. R. Hairi ^{[1
]}

Zadpoor, A. A. ^{[2
]}

Lucas, C. ^{[3
]}

机构：

[1] Univ Tehran, Dept Mech Engn, Karegar Ave, Tehran, Iran

[2] Amirkabir Univ Technol, Dept Biomed Engn, Tehran 15914, Iran

[3] Univ Tehran, Dept Comp & Elect Engn, Tehran 14174, Iran

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON ENGINEERING OF INTELLIGENT SYSTEMS | 2006年

关键词：

neurofuzzy; soft tissue; system identification;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a combined neurofuzzy system is developed for identification of different classes of soft tissues and for exploitation of their mechanical properties by using the experimental data. These data were resulted from force-displacement curves of soft tissues in uniaxial compression test. The developed system is able to identify a particular tissue among the others. By utilization of fuzzy logic, similarity of experimental data to normal or average state can be identified. The similarity can be used as a criterion for assessment of health of tissues. A code was developed to study performance and convergence of the network. Results of the simulation showed that the network converges with a high velocity and is capable of identifying different types of soft tissues with a high degree of accuracy.

引用

页码：443 / +

页数：3

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