Genetic Algorithm to Optimize the Design of High Temperature Protective Clothing Based on BP Neural Network

For the clothing design for high-temperature operation, theory or method such as partial differential, nonlinear programming and finite difference was first applied to construct overall heat transfer model of “high temperature environment--clothing--air layer--skin” draw distribution map. Secondly, according human body burn model, optimal parameters fabric thickness are obtained preliminarily. Finally, weights thresholds BP neural network were optimized by genetic algorithm, these values assigned network, function approximated with MATLAB.