An ant colony optimization method for fuzzy membership functions and its application to estimate the pulmonary elastance

Author

Kanae, Shunshoku ; Nakamichi, Masanori

Author_Institution

Fukui Univ. of Technol., Fukui, Japan

fYear

2013

Firstpage

8056

Lastpage

8060

Abstract

Establishing a respiratory model and estimating pulmonary elastance of patient is the bases for suitable setting of ventilation conditions. In our recent work, the nonlinear differential equation model of respiration with fuzzy elastance is addressed. In this paper, an ant colony optimization algorithm is proposed to adjust parameters of fuzzy membership functions, and its application to estimate respiratory model with fuzzy elastance is described. Some examples of estimating a patient´s P - V curve by using proposed algorithm in different cases are given to illustrate the usefulness of this algorithm.

Keywords

ant colony optimisation; fuzzy set theory; medicine; nonlinear differential equations; patient treatment; ant colony optimization method; artificial respiration; fuzzy elastance; fuzzy membership functions; nonlinear differential equation model; pulmonary elastance estimation; respiratory model; Ant colony optimization; Atmospheric modeling; Equations; Estimation; Lungs; Mathematical model; Vectors; ant colony optimization; artificial respiration; elastance; estimation; fuzzy; modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2013 32nd Chinese

Conference_Location

Xi´an

Type

conf

Filename

6640860