Tytuł pozycji:
Classification of transformer oil using self-organizing networks and bayesian neural networks
In this paper supervised and unsupervised neural networks have been applied. To help the inexperienced transformer oil analyst to make good diagnosis, by classifying the transformer oil in classes giving its dielectric and cooling state; a Bayesian network a self organization map and a competitive layer have been applied. They present a high quality of classification in generalization phase.