Effect of different environmental parameters on pitting behavior of AISI type 316L stainless steel: Experimental studies and neural network modeling

Multilayer feedforward networks are universal approximators

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 21.2K citations

Computing, Computer Science, Mathematics +10

Environmental Factors Affecting the Critical Potential for Pitting in 18–8 Stainless Steel

H. P. Leckie, Herbert H. Uhlig · Journal of The Electrochemical Society · 1966 · 668 citations

Natural Sciences, Materials Engineering, Materials Science +15

The relationships between anodic passivity, brightening and pitting

T. P. Hoar, Dana C. Mears, G.P. Rothwell · Corrosion Science · 1965 · 509 citations

Medicine, Enology, Daylighting +3

The use of artificial neural networks in materials science based research

K.L. Edwards · Materials & Design (1980-2015) · 2007 · 285 citations

Natural Sciences, Materials Engineering, Materials Science +14

Artificial neural network modeling to evaluate and predict the deformation behavior of stainless steel type AISI 304L during hot torsion

Sumantra Mandal, P.V. Sivaprasad, S. Venugopal et al. · Applied Soft Computing · 2008 · 206 citations

Natural Sciences, Materials Engineering, Materials Science +16