Artificial Neural Network Identification of Burning Rate in Solid Fuel Ramjet

In order to search the dependency of the burning rate on the flying conditions of SFRJ,we identify the results of the simulated experiments by means of BP artificial neural network,and compare the results with those obtained with the help of Least Square Method.It is shown that the presented method of identification features high precision,fast experimental data handling and on-line process identification,and is superior in engineering application.Furthermore,it will greatly enhance the speed of training if some proper mathematic techniques are adopted in the application of artificial neural network to identifying similar big sample system.