模糊神经网络技术及其在火灾探测过程中的应用

    Fuzzy Neural Network Technology and It's Application to Fire Detection Process

    • 摘要: 火灾探测特征模型是一类非线形不良结构动态模型.应用模糊神经网络技术提出了一种能够给出火灾预报概率的智能算法,较好地解决了“提早报警”与“降低误报率”之间的矛盾.仿真研究表明本系统能够准确、迅速地判定火警,有较强的抗干扰性.

       

      Abstract: Fire detection model is a Kind of nonlinear, ilI-structural and dynamic model. Adopting fuzzy neural network thechnology in this paper puts forward an intelligent arithmetic which can give the fire prediction probablity. It better solves the contraction between advance waring and mis-warning. The emulation study shows that mis method can exactly and quickly judge fire disaster and have better antijamming.

       

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