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A FEDERATED LEARNING SYSTEM AND METHOD FOR DETECTING FINANCIAL CRIME BEHAVIOR ACROSS PARTICIPATING ENTITIES

机译:一种用于检测参与实体的财务犯罪行为的联邦学习系统和方法

摘要

A method of updating a first neural network is disclosed. The method includes providing a computer system with a computer-readable memory that stores specific computer-executable instructions for the first neural network and a second neural network separate from the first neural network. The method also includes providing one or more processors in communication with the computer-readable memory. The one or more processors are programmed by the computer-executable instructions to at least process a first data with the first neural network, process a second data with the second neural network, update a weight in a node of the second neural network by a delta amount as a function of the processing of the second data with the second neural network, and update a weight in a node of the first neural network as a function of the delta amount.
机译:公开了一种更新第一神经网络的方法。该方法包括提供具有计算机可读存储器的计算机系统,该存储器存储用于第一神经网络的特定计算机可执行指令和与第一神经网络分开的第二神经网络。该方法还包括提供与计算机可读存储器通信的一个或多个处理器。一个或多个处理器由计算机可执行指令编程到至少处理具有第一神经网络的第一数据,利用第二神经网络处理第二数据,通过delta更新第二神经网络的节点中的权重作为与第二神经网络的第二数据处理的函数的函数,并根据增量量的函数更新第一神经网络的节点中的权重。

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