相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Machine learning in continuous casting of steel: a state-of-the-art survey
David Cemernek et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2022)
Integrating data mining and machine learning to discover high-strength ductile titanium alloys
Chengxiong Zou et al.
ACTA MATERIALIA (2021)
A strategy combining machine learning and multiscale calculation to predict tensile strength for pearlitic steel wires with industrial data
Xue Jiang et al.
SCRIPTA MATERIALIA (2020)
Using deep neural network with small dataset to predict material defects
Shuo Feng et al.
MATERIALS & DESIGN (2019)
Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises
Andreas Schumacher et al.
12TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING (2019)
DMME: Data mining methodology for engineering applications - a holistic extension to the CRISP-DM model
Steffen Huber et al.
12TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING (2019)
TRANSFORM-ANN for online optimization of complex industrial processes: Casting process as case study
Srinivas Soumitri Miriyala et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2018)
Statistical Control of Defects in a Continuously Cast Billet Based on Machine Learning and Data Analysis Methods
I. A. Varfolomeev et al.
AUTOMATION AND REMOTE CONTROL (2018)
Machine learning in manufacturing: advantages, challenges, and applications
Thorsten Wuest et al.
PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL (2016)
BP Neural Network of Continuous Casting Technological Parameters and Secondary Dendrite Arm Spacing of Spring Steel
Li-hong JIANG et al.
JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL (2011)
Genetic algorithms for modelling and optimisation
J McCall
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS (2005)