A machine learning based global simulation data mining approach for efficient design changes-Reference-Cited by-同舟云学术

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A machine learning based global simulation data mining approach for efficient design changes

Published:2018-10 Issue: Volume:124 Page:22-41
ISSN:0965-9978
Container-title:Advances in Engineering Software
language:en
Short-container-title:Advances in Engineering Software

Author:

Shao Yanli,Liu Yusheng,Ye Xiaoping,Zhang Shuting

Funder

National Key technology R&D Program

National Science Foundation of China

Social Science Foundation of Jiangsu Province

NSF of Zhejiang

Publisher

Elsevier BV

Subject

General Engineering,Software

Reference43 articles.

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2. Mining data from hemodynamic simulations for generating prediction and explanation models;Radović,2010

3. mining data from cfd simulation for aneurysm and carotid bifurcation models;Milos,2011

4. Mining data from hemodynamic simulations for generating prediction and explanation models;Bosnic;IEEE Trans Inf Technol Biomed,2012

5. An application of Takagi–Sugeno fuzzy system to the classification of cancer patients based on elemental contents in serum samples;Zhang;Chemom Intell Lab Syst,2006

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