Sökning: "Miguel Aguiar"
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1. Learning flow functions : architectures, universal approximation and applications to spiking systems
Sammanfattning : Learning flow functions of continuous-time control systems is considered in this thesis. The flow function is the operator mapping initial states and control inputs to the state trajectories, and the problem is to find a suitable neural network architecture to learn this infinite-dimensional operator from measurements of state trajectories. LÄS MER
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