Prediction of Wear Behavior in Porous Sintered Steels: Artificial Neural Network Approach

Powder Metallurgy Progress - Germany
doi 10.1515/pmp-2018-0012
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Walter de Gruyter GmbH

Related search

Prediction of the Stacking Fault Energy in Austenitic Stainless Steels Using an Artificial Neural Network

International Journal of Engineering and Technical Research (IJETR)
2019English

Artificial Neural Network Intelligent Method for Prediction

2017English

Prediction of Semen Quality Using Artificial Neural Network

Journal of Applied Biomedicine
GeneticsMolecular BiologyPharmacologyBiochemistryBiological SciencesToxicologyMedicineAgriculturalNeurosciencePharmaceutics
2019English

Prediction of Jominy Hardness Profiles of Steels Using Artificial Neural Networks

Journal of Materials Engineering and Performance
Mechanics of MaterialsMaterials ScienceMechanical Engineering
1996English

Stock Price Direction Prediction Using Artificial Neural Network Approach: The Case of Turkey

Journal of Artificial Intelligence
Artificial IntelligenceSoftware
2008English

Prediction of the Abrasive Wear Behaviour of Heat-Treated Aluminium-Clay Composites Using an Artificial Neural Network

Journal of Taibah University for Science
2018English

Wear Behaviour of Sintered Steels Obtained Using Powder Metallurgy Method

Mechanika
Condensed Matter Physics
2017English

Pubg Winner Placement Prediction Using Artificial Neural Network

International Journal of Engineering Applied Sciences and Technology
2019English

Risk Prediction of Knee Osteoarthritis Using Artificial Neural Network

Osteoarthritis and Cartilage
Sports MedicineRheumatologyOrthopedicsBiomedical Engineering
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy