Abstract: This paper proposes a Fast Geometric Constructive Neural Network (FastGCNet) that aims to provide a fast learning paradigm for data-driven modelling in resource-constrained Industrial ...
Abstract: The objective of this article is to derive the essential invariance and contraction properties for the geometric periodic systems, which can be formulated as a category of differential ...
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