Survey on error back propagation algorithm with the adaptive decay time for spike neural network in identifying the lift coefficient of an aircraft
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https://doi.org/10.54939/1859-1043.j.mst.CAPITI.2024.69-74Keywords:
Spike neural network; The decay time; System identification.Abstract
This paper investigates the backpropagation algorithm with the adaptive decay time for the spike neural network. From the survey results, the author has determined the appropriate value range of decay time and learning rate to improve network training efficiency. The efficiency of the algorithm with the parameter values selected after the survey shows that the convergence speed of the network is improved compared to the original algorithm through the problem of identifying aircraft aerodynamic parameters.
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