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Computational Intelligence and Neuroscience
Volume 2019, Article ID 8729367, 16 pages
https://doi.org/10.1155/2019/8729367
Research Article

Incoming Work-In-Progress Prediction in Semiconductor Fabrication Foundry Using Long Short-Term Memory

1Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
2X-FAB Sarawak Sdn. Bhd., 1 Silicon Drive, Sama Jaya Free Industrial Zone, 93350 Kuching, Sarawak, Malaysia

Correspondence should be addressed to Kang Leng Chiew; ym.saminu@weihclk

Received 19 September 2018; Revised 22 November 2018; Accepted 12 December 2018; Published 2 January 2019

Academic Editor: Paolo Gastaldo

Copyright © 2019 Tze Chiang Tin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Tze Chiang Tin, Kang Leng Chiew, Siew Chee Phang, San Nah Sze, and Pei San Tan, “Incoming Work-In-Progress Prediction in Semiconductor Fabrication Foundry Using Long Short-Term Memory,” Computational Intelligence and Neuroscience, vol. 2019, Article ID 8729367, 16 pages, 2019. https://doi.org/10.1155/2019/8729367.