Litcius/Paper detail

A pruning algorithm with relaxed conditions for high-order neural networks based on smoothing group <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2238" altimg="si242.svg"><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mo>/</mml:mo><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> regularization and adaptive momentum

Qian Kang, Qinwei Fan, Jacek M. Żurada, Tingwen Huang

2022Knowledge-Based Systems16 citationsDOI

Topics & Concepts

SmoothingArtificial neural networkRegularization (linguistics)AlgorithmPruningGroup (periodic table)SigmaComputer scienceFunction (biology)MathematicsArtificial intelligenceStatisticsPhysicsBiologyOrganic chemistryChemistryAgronomyQuantum mechanicsEvolutionary biologyNeural Networks and ApplicationsMachine Learning and ELMModel Reduction and Neural Networks
A pruning algorithm with relaxed conditions for high-order neural networks based on smoothing group <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2238" altimg="si242.svg"><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mo>/</mml:mo><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> regularization and adaptive momentum | Litcius