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Indexed by:期刊论文

Date of Publication:2022-06-29

Journal:大连理工大学学报

Affiliation of Author(s):经济管理学院

Issue:4

Page Number:607-614

ISSN No.:1000-8608

Abstract:Emergency events and the resulting chain reactions would cause serious consequences ,if the chain reaction path was known in advance , the chain would be interrupted and the disaster reduced .To solve this problem ,an emergency event chain reaction path deduction model based on discrete Hopfield neural network is presented . The model uses the Hopfield neural network to represent a normal emergency event network ,then deduct the chain reaction path of the emergency event according to the principle of the chain reaction ,and by setting the threshold of the neurons ,it maps the inference process of emergency event chain reaction to the evolution process of Hopfield neural network ,and the chain reaction path of initial emergency event can be found out by running the Hopfield neural network .Finally ,the rationality of this method is validated by analyzing the resulting chain reactions of earthquake .

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