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In this paper, finite element based neural network is developed. The purpose is to solve differential equation and inverse problem of differential equation. Inverse problem of differential equation is ...
This research explores the static modeling of a planar soft robotic arm composed of two parallel silicon-based actuators using neural networks. Soft robots, characterized by their pliable structure ...
When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...
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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsMany existing methods for exploring the link between neural activity ... with a multisection neural network architecture and training approach." The researchers trained their RNN-based model using a ...
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