Title :
Detection of biological system deviation by BPNN
Author :
Emoto, T. ; Akutagawa, M. ; Nagashino, H. ; Kinouchi, Y. ; Abeyratne, U.R.
Author_Institution :
Fac. of Eng., Tokushima Univ., Japan
Abstract :
A deviation detection method of biological systems using neural networks is described. This simple method is to analyze time series signals using moving-average-type neural networks. The result of this analysis indicates the transition of the system as simple values. Purpose of this study is to investigate fundamental properties of this method using simple mathematical models which simulate biological systems. As results of computer simulations, interesting characteristics were shown, and its usefulness was confirmed.
Keywords :
biology; moving average processes; neural nets; signal processing; time series; BPNN; biological system deviation; deviation detection method; moving-average-type neural networks; simple mathematical models; time series signals; Australia; Biological neural networks; Biological system modeling; Biological systems; Brain modeling; Computational modeling; Mathematical model; Neural networks; Signal analysis; Time series analysis;
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
DOI :
10.1109/ICARCV.2004.1468965
