Predict Hypotension Events during Spinal Anesthesia Based on Particle Swarm Optimization Neural Networks

Hai Jun Dai; Yu Qiu

doi:10.4028/www.scientific.net/AMR.569.733

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 569Predict Hypotension Events during Spinal...

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.

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Periodical:

Advanced Materials Research (Volume 569)

Pages:

733-736

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.569.733

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Online since:

September 2012

Authors:

Hai Jun Dai, Yu Qiu

Keywords:

Anesthesia, Neural Network (NN), Particle Swarm Optimization (PSO)

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References

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