Application of Neural Network Based on Genetic Algorithm to Predict Hypotension Events during Spinal Anesthesia

Yu Qiu; Hai Jun Dai

doi:10.4028/www.scientific.net/AMR.542-543.1394

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 542-543Application of Neural Network Based on Genetic...

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.

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Periodical:

Advanced Materials Research (Volumes 542-543)

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1394-1397

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.542-543.1394

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Online since:

June 2012

Authors:

Yu Qiu, Hai Jun Dai

Keywords:

Anesthesia, Genetic Algorithm (GA), Neural Network (NN)

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