Classification of ductile cast iron specimens: a machine learning approach-Reference-Cited by-同舟云学术

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Classification of ductile cast iron specimens: a machine learning approach

Published:2017-09-29 Issue:42 Volume:11 Page:231-238
ISSN:1971-8993
Container-title:Frattura ed Integrità Strutturale
language:
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Author:

De Santis Alberto¹,Iacoviello Daniela¹,Di Cocco Vittorio²,Iacoviello Francesco²

Affiliation:

1. Department of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, via Ariosto 25, 00185, Rome, Italy

2. Department of Civil and Mechanical Engineering, Università di Cassino e del Lazio Meridionale, via G. Di Blasio 43, 03043 Cassino (Fr), Italy

Publisher

Gruppo Italiano Frattura

Subject

Mechanical Engineering,Mechanics of Materials

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning-assisted pattern recognition algorithms for estimating ultimate tensile strength in fused deposition modelled polylactic acid specimens;Materials Technology;2023-12-17

2. Investigating the Material Properties of Nodular Cast Iron from a Data Mining Perspective;Metals;2022-09-09

3. Nodular Cast Iron GGG40, 60, 70 Mechanical Characterization from Bars and Blocks Obtained from Brazilian Foundry;Metals;2022-06-29

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