Evaluation of combinations ofin vitrosensitization test descriptors for the artificial neural network-based risk assessment model of skin sensitization

2015 ◽  
Vol 35 (11) ◽  
pp. 1333-1347 ◽  
Author(s):  
Morihiko Hirota ◽  
Shiho Fukui ◽  
Kenji Okamoto ◽  
Satoru Kurotani ◽  
Noriyasu Imai ◽  
...  
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Artificial Neural Network ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Skin Sensitization ◽  
Artificial Neural

The Application of Fuzzy Analytic Hierarchy Process Method and Artificial Neural Network Model in the Elevator Risk Assessment

2014 ◽  
Vol 1014 ◽  
pp. 552-555
Author(s):  
Xin Shi Li ◽  
You Cai Xu ◽  
Ran Tao ◽  
Shu Guo ◽  
Kun Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Artificial Neural Network ◽  
Analytic Hierarchy Process ◽  
Assessment Model ◽  
Fuzzy Analytic Hierarchy Process ◽  
Risk Assessment Model ◽  
Analytic Hierarchy ◽  
Artificial Neural ◽  
Hierarchy Process

The tradition elevator risk assessment model depends on the expert experience, which causes that the assessment process takes a long time. To deal with this problem, this paper proposes a new risk assessment model which is based on fuzzy analytic hierarchy process (F-AHP) and artificial neural network (ANN). This model is applied to the risk-assessment of elevators. The results show that the assessment time is shorter and the accuracy is not lower, in comparison with the traditional model.

scholarly journals In silico risk assessment for skin sensitization using artificial neural network analysis

2015 ◽  
Vol 40 (2) ◽  
pp. 193-209 ◽  
Author(s):  
Kyoko Tsujita-Inoue ◽  
Tomomi Atobe ◽  
Morihiko Hirota ◽  
Takao Ashikaga ◽  
Hirokazu Kouzuki
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
In Silico ◽  
Skin Sensitization ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural

An Artificial Neural Network and Bayesian Network model for liquidity risk assessment in banking

2018 ◽  
Vol 275 ◽  
pp. 2525-2554 ◽  
Author(s):  
Madjid Tavana ◽  
Amir-Reza Abtahi ◽  
Debora Di Caprio ◽  
Maryam Poortarigh
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Artificial Neural Network ◽  
Bayesian Network ◽  
Network Model ◽  
Liquidity Risk ◽  
Bayesian Network Model ◽  
Artificial Neural
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