Demand forecasting on supply chain using ML and NN

Demand forecasting on supply chain using ML and NN

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliographische Detailangaben
Hauptverfasser:	Hridi, Naoshin Anzum, Farhan, Md Sharior Hossain, Abed, Md. Junaed, Rafsan, Mohammad Nafiz Fuad
Weitere Verfasser:	Hossain, Muhammad Iqbal
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2023
Schlagworte:	Demand forecasting Supply chain sales Deep learning LSTM DNN Prophet NeuralProphet ARIMA SARIMA CNN RNN Cognitive learning theory Machine learning Neural networks (Computer science)
Online Zugang:	http://hdl.handle.net/10361/18037

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