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We use the HANNIBAL neural network processor as a research vehicle for these investigations and demonstrate the value of the proposed techniques by a number ...
"Investigations of linear array architectures for neural network support." Thesis, University of Nottingham, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk ...
Dec 9, 2020 · I am trying to design a neural network to predict an array of the smooth underlying function from a dataset array with gaussian noise included.
Missing: Investigations support.
Learning deep neural networks' architectures using differential ...
pmc.ncbi.nlm.nih.gov › PMC9112664
The goal of this paper is to propose a potential method for learning deep network architectures automatically.
A highly parallel array architecture for ANN algorithms is presented and evaluated. The array, consisting of PEs inter-connected as a 2D-grid, ...
A comparison of various neural network (NN) architectures is performed in this paper in order to be used as beamformers applied to a linear antenna array
Sammut, Karl M. "Investigations of linear array architectures for neural network support." Thesis, University of Nottingham, 1992. http://ethos.bl.uk ...
Jul 18, 2024 · Our experiments show that BiaslessNAS achieves a 2.55% increase in accuracy and a 65.50% improvement in fairness compared to traditional NAS ...
In this proof-of-concept research we aim at investigating to what extent it is possible to use deep neural networks for modeling antenna arrays. We consider a ...
The purpose of this exercise is to support development of a VVUQ methodology for ML models by comparing various ML models trained on Critical Heat Flux data.