The use of some paradigms of neural networks in prediction of dielectric properties for high voltage liquid solid and gas insulations

The aim of this paper is to reduce the ageing experiment time and predict thermal ageing stress for longest time intervals using some paradigms of artificial neural networks. We present also the prediction of the breakdown voltage in a point-barrier-plane air gap versus the gap length.