A Bayesian Neural Network Approach to Synthesising Data for Supply Chain Optimisation and Simulation Modelling

The Bayesian learning model developed in this research addressed a need for technology by which complex industry datasets may be synthesised and represents a fundamentally novel approach to this problem than those previously explored in literature. This approach enables the characterisation of compl...

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Bibliographic Details
Main Author: Taco Arana, Herbert Isaac
Format: Thesis
Published: Curtin University 2022
Online Access:http://hdl.handle.net/20.500.11937/97703