ARTIFICIAL NEURAL NETWORK USING SPIRAL OPTIMIZATION ALGORITHM TO PREDICT CREDIT DEFAULT CUSTOMER
Credit default can be defined as the borrower’s failure to make loan payments on the due date. Credit default can cause losses for lenders, so preventive actions must be taken, one of which is to predict the potential for default early. This credit default customer problem can be categorized as a bi...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/49712 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |