Optimization of Combustion Characteristics of Mg/PTFE Fuel-Rich Pyrotechnical Propellant Based on Neural Network Tool Kit of MATLAB

Configuration and algorithm of BP neural network and characteristics of MATLAB programming language are introduced in this article. Establishing BP neural network becomes easy with relevant functions of design, training and simulation of neural network provided by neural network tool kit of MATLAB. Users can call relevant programs according to their own requirements without being bothered about writing huge amount of algorithm programs. This paper discusses the methods and procedure of designing BP neural network with MATLAB neural network tool kit in detail. Optimization of combustion characteristic of Mg/PTFE fuel-rich pyrotechnical propellant was taken as an example to verify the feasibility of the approach.