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New Findings from Sungkyunkwan University in the Area of Networks Reported (Exploring the Deep Neural Network Model’s Potential To Estimate Abnormal Audit Fees)

机译:报道了网络领域的Sungkyunkwan大学的新发现报道(探索深度神经网络模型估计异常审计费的潜力)

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By a News Reporter-Staff News Editor at Network Daily News - Investigators discuss new findings in Networks. According to news reporting originating from Seoul, South Korea, by NewsRx correspondents, research stated, “The paper aims to estimate abnormal audit fees more precisely than the traditional audit fee model by applying an artificial intelligence (AI) method. Design/ methodology/approach The AI technique employed in this paper is the deep neural network (DNN) model, which has been successfully applied to a wide variety of decision-making tasks.”
机译:由Network Daily News的新闻记者-Staft新闻编辑 - 调查人员讨论网络中的新发现。 根据NewsRX通讯员的起源于韩国首尔的新闻报道,研究指出:“本文旨在通过采用人工智能(AI)方法来比传统的审计费用模型更精确地估算异常审计费。 设计/方法/方法本文采用的AI技术是深神经网络(DNN)模型,该模型已成功应用于各种决策任务。”

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