The Measurement for Permittivity of Materials Based on Artificial Nerve Network

Effective complex permittivity measurements of materials are important in microwave engineering and microwave chemistry. Artificial neural network (ANN) computational module has been used in microwave technology and becomes a useful tool recently. A neural network can be trained to learn the behavior of an effective complex permittivity of material under microwave irradiation in a test system and it can provide a fast and accurate result for the permittivity of material. Thus, the on-line measurement has been realized. In this paper, a measurement system has been designed and the S-parameters are obtained by full-wave simulations to reconstruct the permittivity of material. Moreover, several organic solvents have been measured. The reconstructed results of the effective permittivities of solvents by means of the ANN agree well with previous published data.