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99238 NEURAL NETWORK METHODS FOR THE PREDICTION OF PITTING POTENTIALS

Product Number: 51300-99238-SG
ISBN: 99238 1999 CP
Author: M. Turega, S.J. Gartland, G. Owen, and R.A. Cottis
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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
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
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