Litcius/Paper detail

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si17.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="italic">free</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>-LSTM: An error distribution free deep learning for short-term traffic flow forecasting

Weiwei Fang, Wenhao Zhuo, Youyi Song, Jingwen Yan, Teng Zhou, Jing Qin

2023Neurocomputing51 citationsDOI

Topics & Concepts

Computer scienceBenchmark (surveying)GaussianAlgorithmMean squared errorTerm (time)Function (biology)Artificial intelligenceArtificial neural networkParametric statisticsMachine learningData miningStatisticsMathematicsEvolutionary biologyPhysicsBiologyQuantum mechanicsGeographyGeodesyTraffic Prediction and Management TechniquesTraffic control and managementTime Series Analysis and Forecasting
<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si17.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="italic">free</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>-LSTM: An error distribution free deep learning for short-term traffic flow forecasting | Litcius