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Title: Efficient learning in neural networks
Authors: Yin, Tong.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 1998
Abstract: In studies of neural networks, the Multilavered Feedforward Network is the most widely used network architecture while the Backpropagation (BP)algo-rithm is the prime learning algorithm for this kind of networks. Although the BP algorithm is thought to be based on a solid theoretical background, some of its drawbacks hamper its use in solving problems efficiently. These draw-backs include slow convergence, the problem of local minima, and the degra-dation in performance due to practical constraints such as limited weight precision in real implementation of the algorithm.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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