Convolutional neural networks based on fractional-order momentum for parameter training
Tao Kan, Zhe Gao, Chuang Yang, Jing Jian
Topics & Concepts
MNIST databaseMomentum (technical analysis)Convolutional neural networkMoment (physics)Convergence (economics)Computer scienceNonlinear systemOrder (exchange)Applied mathematicsArtificial intelligenceAlgorithmMathematicsArtificial neural networkPhysicsQuantum mechanicsEconomic growthEconomicsClassical mechanicsFinanceMachine Learning and ELMNeural Networks and ApplicationsModel Reduction and Neural Networks