Abstract: An Artificial Neural Network Approach for the Identification of Stochastic Models of Travelling Traders’ Exchange Process (2018 AIChE Annual Meeting)

Chunbing Huang¹, Patrick Piccione², Federica Cattani³ and Federico Galvanin¹, (1)Department of Chemical Engineering, University College London, London, United Kingdom, (2)Process Studies Group, Technology & Engineering, Syngenta, Breitenloh 5, CH-4333 Münchwilen, Switzerland, (3)Jealott’s Hill International Research Centre, Process Studies Group, Technology & Engineering, Syngenta, Bracknell, Berkshire, United Kingdom

See more of this Session: Interactive Session: Data and Information Systems
See more of this Group/Topical: Computing and Systems Technology Division

527773 An Artificial Neural Network Approach for the Identification of Stochastic Models of Travelling Traders’ Exchange Process