APPLICATION OF SCALED CONJUGATE GRADIENT ARTIFICIAL NEURAL NETWORK ON CHAIN-LADDER RESERVING METHOD
With the rapid and increasing development in information technology, the explosion of the amount of data, called Big Data, is occurring. This phenomenon also affects the insurance industry, where the characteristics of each claim data could be obtained and recorded faster and better in terms of its...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/29633 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | With the rapid and increasing development in information technology, the explosion of the amount of data, called Big Data, is occurring. This phenomenon also affects the insurance industry, where the characteristics of each claim data could be obtained and recorded faster and better in terms of its quantity and quality. Hence, the information in the data could be used to increase the accuracy of the estimate of the outstanding claims liability. In this final project, the Chain-Ladder reserving method with Scaled Conjugate Gradient Artificial Neural Network is discussed. The method is then applied to an Indonesian earthquake insurance claim data to determine the outstanding claims liability. |
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