An improved prediction algorithm of seamless tubing corrosion based on an extension neural network-Reference-Cited by-同舟云学术

An improved prediction algorithm of seamless tubing corrosion based on an extension neural network

Published:2018-10-24 Issue:12 Volume:31 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Wang Ti‐chun¹^ORCID,Tong Chang‐sheng¹,Yao Sheng‐hu¹

Affiliation:

1. College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and Astronautics Nanjing 210016 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.4801

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5. HanD JiaX.A study on method of normalizing the data of material corrosion. In: Proceedings of the 2nd Asian Materials Database Symposium;2010;Sanya China.

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