title: [Working Temperature Predication of Artificial Heart Based on Neural Network].
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 well 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 genetically optimized BP network, by which indicates that the probability is 1.84% with the margin of error more than 1%.
authors.forename: Qilei
authors.initials: Q
authors.lastname: Li
authors.forename: Ming
authors.initials: M
authors.lastname: Yang
authors.forename: Wenchu
authors.initials: W
authors.lastname: Ou
authors.forename: Fan
authors.initials: F
authors.lastname: Meng
authors.forename: Zihao
authors.initials: Z
authors.lastname: Xu
authors.forename: Liang
authors.initials: L
authors.lastname: Xu
mesh_terms: D006354:Heart, Artificial; D016571:Neural Networks, Computer; D013696:Temperature