Prediction model for the water jet falling point in fire extinguishing based on a GA-BP neural network.

ABSTRACT: Past research on the process of extinguishing a fire typically used a traditional linear water jet falling point model and the results ignored external factors, such as environmental conditions and the status of the fire engine, even though the water jet falling point location prediction was often associated with these parameters and showed a nonlinear relationship. This paper constructed a BP (Back Propagation) neural network model. The fire gun nozzle characteristics were included as model inputs, and the water discharge point coordinates were the model outputs; thus, the model could precisely predict the water discharge point with small error and high precision to determine an accurate firing position and allow for the timely adjustment of the spray gun. To improve the slow convergence

SUBMITTER: Zhang C 

PROVIDER: S-EPMC6726229 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature