New neural models of microwave transistor noise parameters based on bias conditions

The new results of neural modeling of transistor noise parameters are presented in this paper. The previous authors´ modeling efforts have yielded neural models of transistor noise parameters´ dependence on frequency and bias conditions. In order to improve this modeling, especially modeling of parameters with irregular behaviour, the scattering parameters are introduced as neural model inputs.