Demand Planning and Forecasting in the High Technology Industry Based on Hybrid CEEMDAN-GA-BPNN Model-Reference-Cited by-同舟云学术

Demand Planning and Forecasting in the High Technology Industry Based on Hybrid CEEMDAN-GA-BPNN Model

Published:2024-05-02 Issue: Volume:30 Page:1-6
ISSN:
Container-title:2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC)
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Author:

Vasundhara S.¹,Ameen Nabeena²,Maragatham R. Stella³,Kumar Lamba Anil⁴,Vijayakumar E.⁵,Nishant Neerav⁶^ORCID

Affiliation:

1. G. Narayanamma Institute of Technology and Science Shaikpet,Hyderabad,India

2. B.S.Abdur Rahman Crescent Institute of Science and Technology,(Sel Gr), Information Technology,Chennai,India

3. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS),Department of Mathematics,Chennai,India

4. School of Computer Science and Engineering, Geeta University,Delhi NCR, Panipat,India

5. KIT-Kalaignar, Karunanidhi Institute of Technology,Coimbatore,Tamil Nadu,India

6. School of Engineering, Babu Banarasi Das University,Department of CSE,Lucknow,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592863/10592866/10593877.pdf?arnumber=10593877

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4. Integer programming models for mid-term production planning for high-tech low-volume supply chains

5. Changing imbalance: Spatial production of national high-tech industrial development zones in China (1988-2018)