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INDUSTRY DECISION SYSTEM USING AN ARTIFICIAL NEURAL NETWORK

机译:基于人工神经网络的行业决策系统

摘要

The present invention relates to a business type determination system using an artificial neural network that automatically determines the type of business for calculating the insurance premium rate for the subject of water insurance, and business type search information selected and input to determine the type of business for calculating the insurance rate for the subject of water insurance. An information transmitting/receiving unit for receiving transmission from an external computer system; Industry determination unit including at least one artificial neural network model trained to determine the industry to which the water insurance subscription object belongs by deep learning a combination of object identification information that can identify each of the water insurance subscription targets listed in the insurance rate table; Including, wherein the industry type determining unit is characterized in that the transmission and output of the industry type determined based on the industry search information and the at least one artificial neural network model to the external computer system.
机译:本发明涉及一种使用人工神经网络的商业类型确定系统,该系统自动确定用于计算水保险对象的保险费率的商业类型,以及选择和输入以确定商业类型的商业类型搜索信息。计算水保险主题的保险费率。信息发送/接收单元,用于接收来自外部计算机系统的发送;行业确定单元,包括至少一个人工神经网络模型,该神经网络模型经过训练以通过深度学习来确定水费保险对象所属的行业,该对象标识信息的组合可以识别保险费率表中列出的每个水费保险对象;包括,其中,行业类型确定单元的特征在于,基于行业搜索信息和至少一个人工神经网络模型确定的行业类型向外部计算机系统的传输和输出。

著录项

  • 公开/公告号KR20200123511A

    专利类型

  • 公开/公告日2020-10-30

    原文格式PDF

  • 申请/专利权人 삼성화재해상보험 주식회사;

    申请/专利号KR1020190044316

  • 发明设计人 장민근;한지훈;

    申请日2019-04-16

  • 分类号G06Q10/10;G06N3/02;

  • 国家 KR

  • 入库时间 2022-08-21 11:05:39

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