Skin sensitization risk assessment model using artificial neural network analysis of data from multiple in vitro assays

2014 ◽  
Vol 28 (4) ◽  
pp. 626-639 ◽  
Author(s):  
Kyoko Tsujita-Inoue ◽  
Morihiko Hirota ◽  
Takao Ashikaga ◽  
Tomomi Atobe ◽  
Hirokazu Kouzuki ◽  
...  
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Artificial Neural Network ◽  
Assessment Model ◽  
In Vitro Assays ◽  
Risk Assessment Model ◽  
Skin Sensitization ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis

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

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.

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural
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