Working Temperature Predication of Artiifcial Heart Based on Neural Network
10.3969/j.issn.1671-7104.2015.02.003
- VernacularTitle:基于神经网络的人工心脏温度预测
- Author:
Qilei LI
1
;
Ming YANG
;
Wenchu OU
;
Fan MENG
;
Zihao XU
;
Liang XU
Author Information
1. 上海交通大学电子信息与电气工程学院
- Keywords:
neural network;
genetic algorithm;
artificial heart;
Matlab simulation;
CompactRIO
- From:
Chinese Journal of Medical Instrumentation
2015;(2):87-89,112
- CountryChina
- Language:Chinese
-
Abstract:
The purpose of this paper is to achieve a measurement of temperature prediction for artificial heart without sensor, for which the research briefly describes the application of back propagation neural network as wel as the optimized, by genetic algorithm, BP network. Owing to the limit of environment after the artificial heart implanted, detectable parameters out of body are taken advantage of to predict the working temperature of the pump. Lastly, contrast is made to demonstrate the prediction result between BP neural network and genetical y optimized BP network, by which indicates that the probability is 1.84%with the margin of error more than 1%.
