Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)

Resource Allocation Based on LSMT Architecture Perspective

Authors
Chao Liu, Juanli Lan, Honghong Zhang, Xiaoxue Du
Corresponding Author
Chao Liu
Available Online August 2018.
DOI
https://doi.org/10.2991/icesem-18.2018.91How to use a DOI?
Keywords
Strategy management; Resource allocation; LSTM; RNN
Abstract

Resource allocation is the core of the strategic management of companies, the allocation of appropriate resources to the most needed parts at the right time to realize optimal allocation of resources becomes an important aspect of enterprises' concern. This paper starts with the enterprise resource allocation process, analyzes the matching degree of LSTM model and resource allocation characteristics, as well as the maturity of LSMT model, and analyzes the feasibility of the application, so as to provide a new perspective for the future resource allocation management.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
August 2018
ISBN
978-94-6252-557-3
ISSN
2352-5398
DOI
https://doi.org/10.2991/icesem-18.2018.91How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chao Liu
AU  - Juanli Lan
AU  - Honghong Zhang
AU  - Xiaoxue Du
PY  - 2018/08
DA  - 2018/08
TI  - Resource Allocation Based on LSMT Architecture Perspective
BT  - Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)
PB  - Atlantis Press
SP  - 400
EP  - 402
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesem-18.2018.91
DO  - https://doi.org/10.2991/icesem-18.2018.91
ID  - Liu2018/08
ER  -