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人工神经智能网络在性能化设计评估中的应用

The application of artificial nerve intelligence network in fire safety design evaluation
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摘要 根据影响大空间建筑消防安全的因素,应用人工神经网络改进型BP算法和层次分析法,建立了大空间建筑火灾危险性的评价指标体系。运用Visual Basic语言编写了大空间建筑消防安全评估可视化软件,对辽宁省朝阳市鸟化石国家地质公园的性能化消防设计进行评价,取得了很好的效果。实践证明,利用人工神经智能网络建立评判模型,为判断大空间建筑性能化消防设计方案是否可行提供了依据,具有很好的应用价值。 According to the factors influencing the large space building fire safety, and applying the artificial nerve network improved BP algorithm and Analytic Hierarchy Process, the evaluation index system of the large space building fire risk was built. Utilizing Visual Basic, the visualization software of large space building fire safety evaluation was compiled, and the per formance based fire design of the National Geological Park of bird fossil in Chaoyang, Liaoning Province was evaluated, which had great outcomes. Results showed that using the artifi cial nerve intelligence network to establish the evaluation model can provide basis for the evaluation of large space building per formance based fire design, and has great practical value.
作者 刘庆恩
机构地区 朝阳市消防支队
出处 《消防科学与技术》 CAS 北大核心 2012年第8期874-877,共4页 Fire Science and Technology
关键词 人工神经智能网络 大空间建筑 性能化设计 消防安全评估 artificial nerve intelligence network large space building performance based design fire safety evaluation
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