Article ID Journal Published Year Pages File Type
6905597 Applied Soft Computing 2014 10 Pages PDF
Abstract
(1) Span-output-weights ωL0, ωL1, …, ωL(L−2) are estimated based on the random generated weights and bias. (2) Feedforward-output-weights ωL(L−1) were trained iteratively through iterative learning.
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Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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A fast and efficient two-phase sequential learning algorithm for spatial architecture neural network
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