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adaptive back-propagation

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Adaptive Back-Propagation in On-Line Learning of Multilayer Networks

Neural Information Processing SystemsApr-6-2023, 18:31:51 GMT

An adaptive back-propagation algorithm is studied and compared with gradient descent (standard back-propagation) for on-line learning in two-layer neural networks with an arbitrary number of hidden units. Within a statistical mechanics framework, both numerical studies and a rigorous analysis show that the adaptive back-propagation method results in faster training by breaking the symmetry between hidden units more efficiently and by providing faster convergence to optimal generalization than gradient descent.

adaptive back-propagation, multilayer network, on-line learning, (1 more...)

Neural Information Processing Systems

Genre: Instructional Material > Online (0.71)

Industry: Education > Educational Setting > Online (1.00)

Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)

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