Artificial neural network cost flow risk assessment model

2013 ◽  
Vol 31 (5) ◽  
pp. 423-439 ◽  
Author(s):  
Henry A. Odeyinka ◽  
John Lowe ◽  
Ammar P. Kaka
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Artificial Neural Network ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Network Cost ◽  
Artificial Neural ◽  
Cost Flow

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.

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

Risk Assessment for Remanufacturing System Based on Neural Network

2011 ◽  
Vol 204-210 ◽  
pp. 1382-1385 ◽  
Author(s):  
Qiu Lian Wang ◽  
Cong Bo Li
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Assessment Model ◽  
The Internet ◽  
Risk Assessment Model ◽  
Key Indicators ◽  
The Relationship ◽  
Evaluating Method

To provide referenced risk assessment model for implementing remanufacturing program in enterprise, a set of evaluating indicators was proposed according to the characteristics of the remanufacturing program’s life cycle, which includes acquisition, assessment, disassembly, reproducing and reprocessing phases; And Back Propagation neural network (BPNN) was applied to measure the risk of the remanufacturing system as evaluating method; In addition, the influence of the evaluating indicators on the output was calculated by the Relationship Function between the networked weights, so the key indicators can be found out. The risk assessment model is trained by five samples obtained from the Internet, and is verified by the case of one machining tools company.

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