Emergency Decision-making Method of Unconventional Emergencies in Higher Education Based on Intensive Learning.
In order to improve the emergency decision-making and management ability of unconventional emergencies in Colleges and universities, an emergency decision-making method for unconventional emergencies in Colleges and Universities based on reinforcement learning is proposed. The function of the emerge...
| Publicado en: | Journal of Environmental & Public Health pp. 1 - 12 |
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| Autor principal: | |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
9/28/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159378174&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159378174 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16879805 9034 jtl: Journal of Environmental & Public Health issn: 16879805 maglogo: N pubinfo: dt: 9/28/2022 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 159378174 159378174 NLM36213041 159378174 10.1155/2022/4317697 NLM36213041 159378174 ppf: 1 ppct: 11 formats: tig: atl: Emergency Decision-making Method of Unconventional Emergencies in Higher Education Based on Intensive Learning. aug: au: Zhou, Yongjun affil: Minnan Science and Technology University, Quanzhou, Fujian 362332, China sug: subj: Emergencies Colleges and Universities Short Portable Mental Status Questionnaire ab: In order to improve the emergency decision-making and management ability of unconventional emergencies in Colleges and universities, an emergency decision-making method for unconventional emergencies in Colleges and Universities based on reinforcement learning is proposed. The function of the emergency decision-making model of unconventional emergencies in Colleges and universities is constructed, and the optimal control of the emergency decision-making process of unconventional emergencies in Colleges and universities is realized by using the queuing theory model. Based on the sub-sequence decomposition method, the reinforcement learning function is optimized. Combined with big data scheduling and the empirical mode decomposition method, the effective probability density function of emergency decision-making for unconventional emergencies in higher education is calculated, and the optimal solution vector analysis of emergency management and scheduling decision-making for unconventional emergencies in Colleges and universities is realized according to parameter estimation and quantitative optimization results. The test results show that this method has a good ability to optimize and schedule the emergency decision-making of unconventional emergencies in higher education, and has strong convergence. This method improves the emergency response-ability, and the time cost is short. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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