Modeling the Influence of Antimony on the Mechanical Properties of Carbidic Austempering Ductile Iron Using an Artificial Neural Network
Author:
Affiliation:
1. Nigerian Army University,Department of Mechanical Engineering,Biu,Nigeria
2. Landmark University,Department of Mechanical Engineering,Omu-Aran,Nigeria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10629651/10629654/10629716.pdf?arnumber=10629716
Reference15 articles.
1. Artificial neural network based peak load forecasting using Levenberg–Marquardt and quasi-Newton methods
2. Neural Network;Kinza;Tech Target Network
3. Prediction of Physical and Mechanical Properties for Metallic Materials Selection Using Big Data and Artificial Neural Networks
4. Deep neural network approach to estimate biaxial stress-strain curves of sheet metals
5. Prediction of the Bilinear Stress-Strain Curve of Aluminum Alloys Using Artificial Intelligence and Big Data
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