将神经网络技术应用于考勤自动报表系统的可行性

IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings Pub Date : 1997-05-19 DOI:10.1109/IMTC.1997.612375

C. Liao, Huang-Tien Lin, F. Chu, Jiang-lin Shi, Chia-Lu Ho

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引用次数: 2

摘要

利用神经网络技术对中华电信的自动报时(胚胎)系统进行了改进。本文介绍了如何应用神经网络技术来模拟监督和错误检测的操作。人们可能会发现，自动时间报告系统更完整，更适合用户。

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The feasibility of applying the neural network technology to the automatic time report system

Utilizing neural network technology, the automatic time report (embryo) system was modified by ChunghWa Telecom. This paper shows how the neural network technology is applied to simulate the operations of supervision and error detection. One may find that the automatic time report system is more complete and suitable for users.

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IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings

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