Application of neural network edges for a possible embedding into supply chain management – Temur Dzhuraev, BA (Hons)
Temur Dzhuraev, BA (Hons)
Master's thesis
Application of neural network edges for a possible embedding into supply chain management
Application of neural network edges for a possible embedding into supply chain management
Abstract:
The purpose of this thesis is application of neural network advantages for a possible embedding into supply chain management. There were presented different types of neural networks fulfilling its own tasks but the chapter 1 was delved more into RNN and LSTM structures which have been practically considered and elaborated in subsequent chapters. The second chapter went into details about factors which …moreAbstract:
The purpose of this thesis is application of neural network advantages for a possible embedding into supply chain management. There were presented different types of neural networks fulfilling its own tasks but the chapter 1 was delved more into RNN and LSTM structures which have been practically considered and elaborated in subsequent chapters. The second chapter went into details about factors which …more
Language used: English
Date on which the thesis was submitted / produced: 12. 1. 2023
Thesis defence
- Date of defence: 16. 2. 2023
- Supervisor: Ing. Tomáš Malčic, Ph.D.
- Reader: David Holman, Ph.D.
Citation record
ISO 690-compliant citation record:
DZHURAEV, Temur. \textit{Application of neural network edges for a possible embedding into supply chain management}. Online. Master's thesis. Mladá Boleslav: Škoda Auto Vysoká Škola o.p.s. 2023. Available from: https://theses.cz/id/eop4ib/.
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Institution archiving the thesis and making it accessible: ŠKODA AUTO a.s., ŠKODA AUTO VYSOKÁ ŠKOLA o.p.s.ŠKODA AUTO a.s.
ŠKODA AUTO VYSOKÁ ŠKOLA o.p.s.Master programme / specializace:
Business Administration / International Supply Chain Management
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