Combined with intelligent recognition technology, data fusion technology adopts the classical self-adapting weighting fusion algorithm to increase the reliability of fire characteristics recognition.
数据融合方法采用经典的自适应加权融合估计算法，配合智能判别技术，增强了火灾特征识别的可靠性。
The calculation results from practical data have confirmed the reliability of this algorithm.
对实际数据进行了计算，结果验证了本算法求解的可靠性。
Simulation results show that the algorithm can significantly enhance the data availability, even when the node reliability is low.
实验表明，即使节点的可靠性非常低，该算法也能够获得很高的数据可用性。
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