A renovated method of fire risk evaluation of large emporium based on ANN and greycorrelation
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TL;DR
The application of grey and ANN proves that the renovated method of fire risk evaluation of large emporium based on the grey correlation is a valuable means for its purpose to a great extent.
Abstract
Large emporiums are usually faced with higher fire risk due to their flow of large crowds of people,large space for commodity and facilities and high combustible materials.Based on the study of the said characteristic features of large emporiums,this paper is aimed to present a renovated method of fire risk evaluation of large emporium based on the grey correlation. The renovated method we have proposed is established on the theoretical basis of grey correlation,genetic algorithm and BP neural network for evaluating the safety conditions in large emporiums.More specifically,such a multiplex system involves a lot of factors that are likely to affect the construction safety,which makes it necessary to use the grey correlation to select assessment indexes.In this paper we have adopted the Spearman correlation rating coefficient to combine the subjective and objective weights to exclude the deficiency of the single weight case.The combination weight makes the comprehensive safety assessment more scientific and reasonable.And the indexes that are selected by grey correlation can be chosen as input parameters of neural network.At the same time,we have established a safety evaluation model of large emporiums via the BP neural network based on genetic algorithm.The proposed model intends to avoid being too complicated for getting into a local value and a too-long training period.Such a set has to be trained and evaluated by using this model so that an integrated systematic evaluation of the safety conditions of large emporiums can be confirmed via grey correlation and BP neural network.Last of all,we have chosen a Xi’an building as our case study for the evaluation.The application of grey and ANN proves that the renovated method is a valuable means for its purpose to a great extent.