A building alarm system based on fuzzy neural networks is proposed due to the serious results and losses of fire accidents.
针对目前建筑物发生火灾事故后果严重、损失大的问题,本文主要设计了基于模糊神经网络的智能火灾报警系统。
A building fire alarm system based on fuzzy theory and neural networks and its working principle are introduced due to frequent occurrence of fire accidents and severe damages.
针对目前建筑火灾事故频发及事故后果严重、影响大的现实问题,提出并介绍了基于模糊控制理论、人工神经网络的火灾安全报警系统,以及系统的作用原理。
In this thesis, the prediction model of fire cost is built mainly based on the nonlinear approximation property of neural networks, which can be used to investigate our country's fire cost.
本文主要基于神经网络的非线性逼近性质建立预测模型,来研究我国火灾损失的预测问题。
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