نموذج انحداري موائم بالشبكات العصبية لتقدير معدل السعر للتأمينات العامة

Abstract EN

The main objective of this paper is to using general regression neural networks in pricing the risks of bank credit loans in the Egyptian market.

in order to achieve the objective of the research, the study was applied to MISR insurance company and credit risk guarantee company, through a 10 year time series for credit guarantee company and 8 years for MISR insurance.

the study's recommendations indicated that the current price is excessive in comparison to the proposed price according to the results of the applied study.

the proposed commercial insurance rate using the neural networks model is MISR insurance company 1.

62% which is about (16 per thousands) and the credit risk guarantee company 1.

47% which is about (15 per thousand).