Analysis of Information Propagation Mechanism Based on Hierarchical Temporal Memory

Abstract:

This paper proposes to develop method for disruption mechanism analysis of supply chain systems against information propagate fluctuation, information distortion and non recurrent disasters,with an objective of achieving recognition of supply chain disruption mechanism and control efficiency. Disruption knowledge structure preferences will be modeled and evaluated under different types of supply chain scenarios. A hierarchical temporal memory modeling framework incorporating various measures is established, which can be used to better understand the effects of disruption preferences on supply chain planning, and to find a robust solution against disruption scenarios. Simulation includes supply chain disruption management using past disruption scenario of individual phases data will be carried out for HTM training and testing analysis of model parameters. A key feature of this proposed research distinguishing itself from most existing studies is the integration of hierarchical temporal memory technology and the disruption management of the entire supply chain.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 3429-3433
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.3429
• Online since: August 2014
• Authors: Hai Dong Xiao*, Ning Chen
• Keywords: Data Fusion, Embodied Intelligence, Hierarchical Temporal Memory

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