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A hybrid intelligent system for predicting bank holding structures
R. R. Hashemi
, L. A. Le Blanc
, C. T. Rucks
, A. Rajaratnam
Computer Science
University of Arkansas at Little Rock
Research output
:
Contribution to journal
›
Article
›
peer-review
67
Scopus citations
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Engineering
Network Model
100%
Testing Set
100%
Fits and Tolerances
66%
Two Dimensional
66%
Component Set
33%
Artificial Intelligence Technique
33%
Artificial Intelligence
33%
Decision Support System
33%
Decision-Support System
33%
Computer Science
Rough Set
100%
Neural Network Model
75%
Neural Network
50%
Tolerance Level
50%
Artificial Intelligence
50%
Data Management
25%
Predictive Accuracy
25%
Decision Support System
25%
Composite Model
25%
Mathematics
Neural Network
100%
Network Model
60%
Testing Set
60%
Matrix (Mathematics)
20%
Net Asset
20%
Credit Risk
20%
Final Model
20%
Predictive Accuracy
20%
Economics, Econometrics and Finance
Financial Ratio
100%
Artificial Intelligence
100%
Common Ownership
50%