A Neural Network Model for Dielectric Loss of Si/C/N Nano Powder
神经网络模型在Si/C/N吸收剂介电性能控制中的应用

High temperature absorber is a great obstacle for development of stealth material. Si/C/N nano powder is a potential candidate of high temperature absorber. In order to optimizer and control the dielectric loss of Si/C/N nano powder, neural network (NN) model was developed. The output of NN model was found to be best fit with the sample data's. With the help of the NN model, a series of predictions about the dielectric loss-nitrogen content were made. Finally, the prediction about the influence of nitrogen content of Si/C/N nano powder and frequency on the dielectric loss predicted by NN model was identical well with the experimental results, which shows that the model established by NN can mirror the dielectric loss-results relationships and inner regularity in the high temperature absorber.