In this paper, multi-information parameter in the early fire was regarded as early information of fire. This information was trained by neural network ...
Research on Data Fusion System of Fire Detection Based on Neural-network ... The fire detection data fusion system based on neural network in the paper ...
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This article proposes a multi-sensor data fusion algorithm based on artificial neural network (ANN) technology, which intelligently processes various ...
The aim of the present research is to detect fire as soon as possible for achieving fire early warning based on the monitored temperature data directly.
A multi-sensor information fusion system for fire warning is proposed in Reference [16], which uses a back propagation (BP) neural network to fuse the data from ...
Dec 7, 2023 · With the development of deep learning, the Convolutional Neural Network (CNN) has been proposed and applied to fire detection. Using a CNN to ...
An indoor fire early warning algorithm based on a back propagation neural network fuses the data of temperature, smoke concentration and carbon monoxide, ...
Jan 11, 2023 · [3] presented a linearly regressive artificial-neural-network-based technique to predict temperature increases caused by building fire ...
Feb 15, 2021 · Abstract: In order to realize the multi- sensor automatic detection signal processing for the fire occurrence in confined space, a fire ...