Paper Title:
Application of Neural Network Based on Genetic Algorithm to Predict Hypotension Events during Spinal Anesthesia
  Abstract

An accurate and efficient artificial neural network (ANN) based genetic algorithm (GA) is presented for predicting hypotension during general anesthesia. The genetic algorithm global optimization characteristics are used to optimize the BP neural network weights, and learning samples are trained and modeled by BP neural network with optimal parameters. The simulation experiment is carried out with MATLAB. The result indicated that the model forecasting results are close with the actual results and meet the accuracy requirement to General Anesthesia.

  Info
Periodical
Advanced Materials Research (Volumes 542-543)
Chapter
Chapter 10: Computer Application Technology
Edited by
Runhua Tan, Jibing Sun and Qingsuo Liu
Pages
1394-1397
DOI
10.4028/www.scientific.net/AMR.542-543.1394
Citation
Y. Qiu, H. J. Dai, "Application of Neural Network Based on Genetic Algorithm to Predict Hypotension Events during Spinal Anesthesia", Advanced Materials Research, Vols. 542-543, pp. 1394-1397, Jun. 2012
Online since
June 2012
Authors
Price
US$ 28,-
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