RISK EVALUATING METHOD BASED ON DEEP LEARNING, SERVER, AND COMPUTER-READABLE STORAGE MEDIUM

A risk evaluating method based on deep learning includes establishing an evaluation model of factor weights and an evaluation model of factor scores by training weight data and score data of multiple factors; acquiring factor information in a current environment; inputting the factor information int...

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Bibliographic Details
Main Author WANG, SHIHNG
Format Patent
LanguageEnglish
Published 06.08.2020
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Summary:A risk evaluating method based on deep learning includes establishing an evaluation model of factor weights and an evaluation model of factor scores by training weight data and score data of multiple factors; acquiring factor information in a current environment; inputting the factor information into the evaluation models of the factor weights and the factor scores; calculating dynamic weight data and score data of multiple factors; determining whether the current environment satisfies a predefined first environmental important characteristic condition; sampling the weight data and the score data of the multiple factors, when the current environment satisfies the predefined first environmental important characteristic condition; and adjusting the evaluation models of the factor weights and the factor scores respectively by training the sampled weight data and the sampled score data of the multiple factors.
Bibliography:Application Number: US201916412840