A Hybrid Forecasting Framework with Neural Network and Time-Series Method for Intermittent Demand in Semiconductor Supply Chain
- DOI
- 10.1007/978-3-319-99707-0_9
- Published
- 2018
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-319-99707-0_9,
title = {A Hybrid Forecasting Framework with Neural Network and Time-Series Method for Intermittent Demand in Semiconductor Supply Chain},
author = {Wenhan Fu and Chen-Fu Chien and Zih-Hao Lin},
year = {2018},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-319-99707-0_9},
url = {https://doi.org/10.1007/978-3-319-99707-0_9}
}RIS
TY - JOUR TI - A Hybrid Forecasting Framework with Neural Network and Time-Series Method for Intermittent Demand in Semiconductor Supply Chain AU - Wenhan Fu AU - Chen-Fu Chien AU - Zih-Hao Lin PY - 2018 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-319-99707-0_9 UR - https://doi.org/10.1007/978-3-319-99707-0_9 ER -
APA
Fu, W., Chien, C., & Lin, Z. (2018). A Hybrid Forecasting Framework with Neural Network and Time-Series Method for Intermittent Demand in Semiconductor Supply Chain. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-319-99707-0_9
Source records
- crossref · retrieved 2026-09-25T23:46:19.033Z