scholarly journals Conceptual Model of Offshore Wind Environmental Risk Evaluation System

2010 ◽  
Author(s):  
Richard M. Anderson ◽  
Andrea E. Copping ◽  
Frances B. Van Cleve ◽  
Stephen D. Unwin ◽  
Erin L. Hamilton
Keyword(s):  
Conceptual Model ◽  
Environmental Risk ◽  
Risk Evaluation ◽  
Evaluation System ◽  
Offshore Wind ◽  
Risk Evaluation System

Environmental Risk Evaluation System—an Approach to Ranking Risk of Ocean Energy Development on Coastal and Estuarine Environments

2014 ◽  
Vol 38 (S1) ◽  
pp. 287-302 ◽  
Author(s):  
Andrea Copping ◽  
Luke Hanna ◽  
Brie Van Cleve ◽  
Kara Blake ◽  
Richard M. Anderson
Keyword(s):  
Environmental Risk ◽  
Risk Evaluation ◽  
Evaluation System ◽  
Energy Development ◽  
Ocean Energy ◽  
Risk Evaluation System

scholarly journals MODEL JARINGAN SARAF TIRUAN UNTUK EVALUASI RESIKO KREDIT

2018 ◽  
Vol 2 (1) ◽  
pp. 76
Author(s):  
Novan Wijaya
Keyword(s):  
Neural Network ◽  
Credit Risk ◽  
Risk Evaluation ◽  
Evaluation System ◽  
Financial Risk ◽  
Banking Sector ◽  
Major Focus ◽  
Backpropagation Algorithm ◽  
The Neural Network ◽  
Risk Evaluation System

Credit risk evaluation is an importanttopic in financial risk management and become a major focus in the banking sector. This research discusses a credit risk evaluation system using an artificial neural network model based on backpropagation algorithm. This system is to train and test the neural network to determine the predictive value of credit risk, whether high riskorlow risk. This neural network uses 14 input layers, nine hidden layers and an output layer, and the data used comes from the bank that has branches in EastJakarta. The results showed that neural network can be used effectively in the evaluation of credit risk with accuracy of 88% from 100 test data

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