An Enhanced Network Learning Method for Dynamic Probabilistic LCF Evaluation of Turbine Blisk

2019 ◽  
Author(s):  
Cheng-Wei Fei ◽  
Cheng Lu ◽  
Wen-Zhong Tang
Keyword(s):  
Learning Method ◽  
Network Learning ◽  
Turbine Blisk

A hybrid Bayesian network learning method for constructing gene networks

2007 ◽  
Vol 31 (5-6) ◽  
pp. 361-372 ◽  
Author(s):  
Mingyi Wang ◽  
Zuozhou Chen ◽  
Sylvie Cloutier
Keyword(s):  
Bayesian Network ◽  
Gene Networks ◽  
Learning Method ◽  
Network Learning

scholarly journals Development of interatomic potential for Al–Tb alloys using a deep neural network learning method

2020 ◽  
Vol 22 (33) ◽  
pp. 18467-18479 ◽  
Author(s):  
L. Tang ◽  
Z. J. Yang ◽  
T. Q. Wen ◽  
K. M. Ho ◽  
M. J. Kramer ◽  
...  
Keyword(s):  
Neural Network ◽  
Ab Initio ◽  
Structural Properties ◽  
Deep Neural Network ◽  
Interatomic Potential ◽  
Learning Method ◽  
Neural Network Learning ◽  
Network Learning ◽  
Formation Energies

The developed deep neural network (DNN) potential can describe the structural properties of the Al90Tb10 liquid and the formation energies of Al–Tb crystals with the accuracy of ab initio calculations.

scholarly journals Collaborative network learning (CNL) on students’ online learning

2021 ◽  
Vol 7 (5) ◽  
pp. 362-370
Author(s):  
I Nyoman Kanca ◽  
Gede Ginaya ◽  
Ni Nyoman Sri Astuti
Keyword(s):  
Online Learning ◽  
Data Analysis ◽  
Collaborative Network ◽  
Learning Method ◽  
Higher Vocational Education ◽  
Study Program ◽  
Teacher Interviews ◽  
Network Learning ◽  
Food And Beverage ◽  
Efficient Learning

This study aimed at enhancing students’ online learning through CNL method in English for Food and Beverage Operation Subject Course. The participants of the study were 30 students at the second semester of Hospitality Study Program in State Polytechnic of Bali. Qualitative methods were used in data analysis; a sample of students’ learning achievement was analyzed in light of the CNL assessment criteria.  A questionnaire was administered to highlight progress in students’ online learning in CNL method. CNL method proved to be effective in enhancing students’ online learning in English for Food and Beverage Operation Subject Course, specifically in the online dialogue between co-learner, learner, and the teacher. Interviews with higher vocational education teachers of English emphasized students need for innovative online learning method such as CNL to help them develop as efficient learning. The online class encouraged students to work together as one team and to express their ideas fluently to excel in their learning assignments. Having an authentic reason for doing online learning motivated them to do research and to refine their learning assignments to be good enough to share with others.

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