استخدام الشبکات العصبية الإصطناعية والخوارزميات الجينية الوراثية في تقديرهامش ربح الإکتتاب في شرکات تأمينات الممتلکات والمسئولية في السوق المصري ( بالتطبيق على تأمين أجسام السفن) | ||||
| المجلة العلمية للدراسات التجارية والبيئية | ||||
| Article 3, Volume 11, العدد الثالث الجزء الاول, October 2020, Page 64-165 PDF (2.45 MB) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/jces.2020.119665 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| محمد هاشم | ||||
| مدرس الرياضة والتأمين والإحصاء , أکاديمية السادات للعلوم | ||||
| Abstract | ||||
| Artificial intelligence is a branch of computer science that is concerned with the design and construction of automated systems with intelligent characteristics that qualify it to learn new concepts and tasks capable of responding to the surrounding conditions and interacting with humans with sound and image. It has many applications, including artificial neural networks and genetic algorithms. The study aimed to analyze Factors affecting the underwriting profit margin in the hull insurance branch and access to which one is the most technically influence, in both the public sector, the private sector, or the total market, as well as estimating the underwriting profit margin in the hull insurance branch in the Egyptian insurance market by using typical artificial neural networks and genetic algorithms in both the public sector, the private sector and the total market | ||||
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