Paper Title:
Predict Hypotension Events during Spinal Anesthesia Based on Particle Swarm Optimization Neural Networks
  Abstract

Neural network model based on particle swarm optimization (PSO) was established for predicting hypotension during general anesthesia. The BP neural network parameters optimized by pso, 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
Chapter
Chapter 5: Applied Computer Technologies and Control
Edited by
Jing Guo
Pages
733-736
DOI
10.4028/www.scientific.net/AMR.569.733
Citation
H. J. Dai, Y. Qiu, "Predict Hypotension Events during Spinal Anesthesia Based on Particle Swarm Optimization Neural Networks", Advanced Materials Research, Vol. 569, pp. 733-736, 2012
Online since
September 2012
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