Performance Evaluation of Modified Kinetics, Deep Neural Network, and Adaptive Neuro-fuzzy Inference System (ANFIS) for Predicting Aluminide Layer Thickness on Deep-Rolled AISI 304 Stainless Steel
期刊介绍：
Focused on process metallurgy and materials processing science, Metallurgical and Materials Transactions B contains only original, critically reviewed research on primary manufacturing processes, from extractive metallurgy to the making of a shape.
A joint publication of ASM International and TMS (The Minerals, Metals and Materials Society), Metallurgical and Materials Transactions B publishes contributions bimonthly on the theoretical and engineering aspects of the processing of metals and other materials, including studies of electro- and physical chemistry, mass transport, modeling and related computer applications.
Articles cover extractive and process metallurgy, pyrometallurgy, hydrometallurgy, electrometallurgy, transport phenomena, process control, physical chemistry, solidification, mechanical working, solid state reactions, composite materials, materials processing and the environment.
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