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ARTIFICIAL-INTELLIGENCE DECISION-MAKING CORE SYSTEM WITH NEURAL NETWORK

机译:具有神经网络的人工智能决策核心系统

摘要

An artificial-intelligence decision-making core system with neural network implements asymmetric hidden layers which is constructed by neural network with a dynamic neuron adjusting mechanism via making use of a device with computing unit and storage media, coupled to an independent feedback sub-system which operates a residual-compensation mechanism, thereby the core system can receive various trained data and performs a non-linear analysis process according to the output data derived from the asymmetric hidden layers of an unsupervised neural network, so as to derive individual and applicable decision-making data.
机译:具有神经网络的人工智能决策核心系统实现非对称隐藏层,其由神经网络构成,通过利用具有计算单元和存储介质的设备,耦合到独立的反馈子系统的设备 操作残余补偿机制,从而核心系统可以接收各种训练的数据,并根据来自无监督神经网络的非对称隐藏层导出的输出数据执行非线性分析过程,以导出个人和适用的决策 - 制作数据。

著录项

  • 公开/公告号US2022004839A1

    专利类型

  • 公开/公告日2022-01-06

    原文格式PDF

  • 申请/专利权人 AHP-TECH INC.;

    申请/专利号US202016932863

  • 发明设计人 CHAO-HUANG CHEN;

    申请日2020-07-20

  • 分类号G06N3/04;G06N3/08;G06F17/16;G06F16/22;

  • 国家 US

  • 入库时间 2024-06-14 22:39:37

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