Research on a Fuzzy Neural Network Based Medical Institutions Selection in Subway Station Emergency

Abstract:

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The paper introduces fuzzy neural network into the selection of medical institutions in subway station emergency in view of some negatives of previous evaluation approaches. It also makes comprehensive analysis about affecting factors of subway station incident, and constructs the evaluation index system, and then proposes a new evaluation approach. This approach is a fuzzy neural network. The parameters accident factors, medical institutions' conditions and external environment are trained firstly.Then to construct a fuzzy neural network evaluation model and thereby derive the evaluating value of the selection of medical institutions in subway station emergency. Experimental results show that this method is effective, feasible and highly accurate.

Info:

Periodical:

Advanced Materials Research (Volumes 361-363)

Edited by:

Qunjie Xu, Honghua Ge and Junxi Zhang

Pages:

1204-1210

DOI:

10.4028/www.scientific.net/AMR.361-363.1204

Citation:

Z. F. Zou and H. X. Guo, "Research on a Fuzzy Neural Network Based Medical Institutions Selection in Subway Station Emergency", Advanced Materials Research, Vols. 361-363, pp. 1204-1210, 2012

Online since:

October 2011

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Price:

$35.00

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