首页> 外国专利> System for Reporting Result Requirement Analysis Negotiation of Buyer and Seller Based Machine Learning-Deep Learning Type

System for Reporting Result Requirement Analysis Negotiation of Buyer and Seller Based Machine Learning-Deep Learning Type

机译:基于买卖双方的机器学习-深度学习类型的报告结果需求分析协商的系统

摘要

According to the present invention, as the machine learning and deep learning of CNN & Kohonen Neural Network are used, requirements of a seller and a purchaser, which are expressed in a natural language including text, words, and symbols and relative data satisfying the requirements are analyzed and matched with sale condition information and purchase condition information regardless of time and space through analysis using machine learning, negotiations for drawing similar information and the report of outputting the drawn similar information, and then, the matched condition information is transmitted to a user terminal to prevent the output of necessary information. Therefore, since information demanded by a user is quickly, easily and accurately obtained, the present invention is capable of solving inconvenience in which the user has to spend much time for classification and confirmation because a large amount of information including even unnecessary information has to be outputted in accordance with an existing simple word matching method.
机译:根据本发明,当使用CNN和Kohonen神经网络的机器学习和深度学习时,以自然语言表达的卖方和购买者的要求包括文本,单词和符号以及满足要求的相关数据通过使用机器学习进行分析,对相似信息进行绘制的协商以及所绘制相似信息的输出报告,来分析和匹配销售条件信息和购买条件信息,而不受时间和空间的限制,然后将匹配的条件信息发送给用户。终端以防止输出必要的信息。因此,由于能够快速,容易且准确地获得用户所需的信息,因此本发明能够解决不便之处,其中用户必须花费大量时间进行分类和确认,因为必须包括大量的信息,甚至包括不必要的信息。按照现有的简单单词匹配方法输出。

著录项

  • 公开/公告号KR20190063594A

    专利类型

  • 公开/公告日2019-06-10

    原文格式PDF

  • 申请/专利权人 SHIN GWON GEON;

    申请/专利号KR20170162495

  • 发明设计人 SHIN GWON GEON;

    申请日2017-11-30

  • 分类号G06Q30/06;G06N99;G06Q30/08;

  • 国家 KR

  • 入库时间 2022-08-21 11:50:44

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