articleTop 10% cited
Backpropagation and stochastic gradient descent method
Neurocomputing · 1993 · Vol. 5(4-5) · pp. 185–196
Шун-ичи Амари✉(The University of Tokyo)
Neural Networks and ApplicationsMachine Learning and ELMStochastic Gradient Optimization TechniquesBackpropagationStochastic gradient descentComputer scienceGradient descentArtificial neural networkDescent (aeronautics)Artificial intelligenceMachine learningAlgorithm
Citations
876
FWCI
5.23
field-weighted impact
References
24
Percentile
95%
vs. same field & year
Citations per year
Cited by
Automatic classification of defective photovoltaic module cells in electroluminescence images
Solar Energy · 2019 · 495 citations
References
Neural Network Classifiers Estimate Bayesian <i>a posteriori</i> Probabilities
Neural Computation · 1991 · 988 citations
Learning in Artificial Neural Networks: A Statistical Perspective
Neural Computation · 1989 · 920 citations
Information theory and statistics
Journal of the Franklin Institute · 1959 · 7,216 citations
Information Theory and Statistics.
American Mathematical Monthly · 1960 · 1,540 citations
Principles of Neurodynamics.
American Mathematical Monthly · 1963 · 2,222 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.