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SYSTEM AND METHOD FOR INCREASING ACCURACY OF APPROXIMATING QUERY RESULTS USING NEURAL NETWORKS

机译:使用神经网络提高近似查询结果准确性的系统和方法

摘要

A system and method for increasing the accuracy of generated approximations of query results. The method includes sending a received query to a first neural network and a second neural network; receiving from the first neural network a first predicted result to the received query; providing the first predicted result as a first output to a device having initiated the received query; receiving from the second neural network a second predicted result to the received query; and providing the second predicted result as a second output to the device having initiated the received query, wherein the first neural network requires less computational resources than the second neural network, and whereby the first output is provided before the second output.
机译:一种用于提高查询结果的生成近似值的准确性的系统和方法。该方法包括将接收到的查询发送到第一神经网络和第二神经网络;以及从第一神经网络接收对接收到的查询的第一预测结果;将第一预测结果作为第一输出提供给已启动接收到的查询的设备;从第二神经网络接收第二预测结果到接收到的查询;将第二预测结果作为第二输出提供给已启动接收查询的设备,其中第一神经网络比第二神经网络需要更少的计算资源,从而在第二输出之前提供第一输出。

著录项

  • 公开/公告号US2019050454A1

    专利类型

  • 公开/公告日2019-02-14

    原文格式PDF

  • 申请/专利权人 SISENSE LTD.;

    申请/专利号US201715858967

  • 申请日2017-12-29

  • 分类号G06F17/30;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-21 12:08:03

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