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METHOD AND SYSTEM FOR PREDICTING NON-LINEAR RELATIONSHIPS

机译:预测非线性关系的方法和系统

摘要

A method and a system are provided for predicting a non-linear relationship between a plurality of parameters in a deep neural network framework. The method comprises receiving, by an application server, a plurality of parameter values associated with the plurality of parameters. The method further comprises selecting, by the application server, an activation function based on a desired output. In an embodiment, the desired output is based on an industry type and an application area of the plurality of parameters. The method further comprises predicting, by the application server, the non-linear relationship between the plurality of parameters by modelling the deep neural network framework based on the selected activation function.
机译:提供了一种用于预测深度神经网络框架中的多个参数之间的非线性关系的方法和系统。该方法包括由应用服务器接收与多个参数相关联的多个参数值。该方法还包括由应用服务器基于期望的输出来选择激活功能。在一个实施例中,期望的输出是基于行业类型和多个参数的应用领域。该方法还包括由应用服务器通过基于所选择的激活函数对深度神经网络框架进行建模来预测多个参数之间的非线性关系。

著录项

  • 公开/公告号US2018268282A1

    专利类型

  • 公开/公告日2018-09-20

    原文格式PDF

  • 申请/专利权人 WIPRO LIMITED;

    申请/专利号US201715470249

  • 发明设计人 CHAITANYA RAJENDRA ZANPURE;

    申请日2017-03-27

  • 分类号G06N3/04;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-21 13:00:29

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