To build a precise model is a key technique to aeroengine adaptive control.A rapid learning algorithm of feedforward neural network for identification of aeroengine model is presented in the paper.By contrast with similar algorithms

the present approach employs the decomposition of Matrix QR to solve a set of linear equations.As a result

inversing of huge matrix inverse and fuzzy solutions can be avoided.The algorithm was applied to the aeroengine nonlinear model identification

and validated by the simulation results of the calculation samples.