A relatively large data set has been produced for the pitting corrosion of an austenitic stainless steel in solutions containing random concentrations of anions and at temperatures between 25 and 60°C. A
neural network trained on this data set has been shown to exhibit reasonably good predictive abilities, especially when the complexity of the problem is taken into account. Keywords: artificial neural networks, stainless steel, pitting