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Project
Protecting future fusion power plants – Development of efficient and real-time plasma disruption predictors for ITER by combining advanced data-driven models with physics insights
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Project Team
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Publications
Cluster-based input weight initialization for echo state networks
Peter Steiner
Azarakhsh Jalalvand
Peter Birkholz
A1
Journal Article
in
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
2023
Hybrid static-sensory data modeling for prediction tasks in basic oxygen furnace process
Davi Alberto Sala
Andy Van Yperen-De Deyne
Erik Mannens
Azarakhsh Jalalvand
A1
Journal Article
in
APPLIED INTELLIGENCE
2023