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Training feedforward neural network via multiobjective optimization model using non-smooth <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si9.svg"><mml:mrow><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:mrow></mml:math> regularization

Kaoutar Senhaji, Hassan Ramchoun, Mohamed Ettaouil

2020Neurocomputing20 citationsDOI

Topics & Concepts

Computer scienceArtificial neural networkPerceptronMulti-objective optimizationGeneralizationGenetic algorithmArtificial intelligenceMachine learningSortingSet (abstract data type)Mathematical optimizationAlgorithmMathematicsProgramming languageMathematical analysisNeural Networks and ApplicationsMetaheuristic Optimization Algorithms ResearchMachine Learning and ELM
Training feedforward neural network via multiobjective optimization model using non-smooth <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si9.svg"><mml:mrow><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:mrow></mml:math> regularization | Litcius