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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
Research article (Neurocomputing, 2020) · cited 20× · AI/ML
Training feedforward neural network via multiobjective optimization model using non-smooth L1/2 regularization
Summary
Training feedforward neural network via multiobjective optimization model using non-smooth L1/2 regularization is a scholarly article<sup id="cite-A2" class="cite-ref" title="Training feedforward neural network via multiobjective optimization model using non-smooth [1].
Key Facts
Training feedforward neural network via multiobjective optimization model using non-smooth L1/2 regularization's instance of is recorded as scholarly article<sup id="cite-C1" class="cite-ref" title="Training feedforward neural network via multiobjective optimization model using non-smooth [2].
References
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APA4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/training-feedforward-neural-network-via-multiobjective-optimization-model-using-non-smooth-mml-math-xmlns-mml-http-www-w
MLA“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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/training-feedforward-neural-network-via-multiobjective-optimization-model-using-non-smooth-mml-math-xmlns-mml-http-www-w.
BibTeX@misc{4ortxyz_training-feedforward-neural-network-via-multiobjective-optimization-model-using-non-smooth-mml-math-xmlns-mml-http-www-w_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/training-feedforward-neural-network-via-multiobjective-optimization-model-using-non-smooth-mml-math-xmlns-mml-http-www-w}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/training-feedforward-neural-network-via-multiobjective-optimization-model-using-non-smooth-mml-math-xmlns-mml-http-www-w (retrieved 2026-05-24)
