DocumentCode :
2744746
Title :
Identification of combination therapy models using a neuro fuzzy identification scheme
Author :
Giotis, Thomas ; Christodoulou, Manolis A. ; Boutalis, Yannis
Author_Institution :
Dept. of Electron. & Comput. Eng., Tech. Univ. of Crete, Chania, Greece
fYear :
2011
fDate :
20-23 June 2011
Firstpage :
1283
Lastpage :
1288
Abstract :
In this paper a neuro fuzzy identification scheme is used in order to identify four different nonlinear biological systems that describe four combination therapy models respectively. Combination therapy is a significant field in modern medicine and it is very important to be able to develop a system-level understanding of such biological systems and provide information that will be useful to molecular biology and medicine. Apart from this, we have the opportunity to show the great capabilities of the scheme we used, in biological systems of great interest that show amplification, ultrasensitivity and feedback control. Our results illustrate the potency of this method.
Keywords :
biology; feedback; fuzzy neural nets; nonlinear control systems; amplification; combination therapy models; feedback control; neuro fuzzy identification scheme; nonlinear biological systems; ultrasensitivity; Additives; Biological system modeling; Compounds; Computational modeling; Drugs; Inhibitors; Combination Therapy; Identification; Neuro Fuzzy Systems; Systems Biology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (MED), 2011 19th Mediterranean Conference on
Conference_Location :
Corfu
Print_ISBN :
978-1-4577-0124-5
Type :
conf
DOI :
10.1109/MED.2011.5983229
Filename :
5983229
Link To Document :
بازگشت