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Two numerical examples demonstrated the improvements achieved by the learning algorithm introduced in this paper compared to classical schemes with continuous learning methods.
Four well-known traditional SRGMs are combined based on the dynamically evaluated weights determined by the learning algorithm of the proposed FFNN.
The developed neurocontroller was found to be robust in the presence of significant process uncertainty, as a result of the generalization afforded by the learning algorithm.
With this gain, high-amplitude signal contents is separated from low-amplitude noise, the former being compensated by the learning algorithm.
We therefore entertain the possibility that, whereas the average human user may provide sensible demonstrations from a human's perspective, these same demonstrations may be insufficient, incomplete, ambiguous, or otherwise "flawed" from the perspective of the training set needed by the learning algorithm to generalize properly.
The prediction values can be confirmed by the learning algorithm.
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The key idea we explore is that expensiveness is inadvertently and unnecessarily introduced into learned rules by the learning algorithms themselves.
The partial derivatives required by the learning algorithms are derived using the adjoint model approach, adapted to the architecture of the networks being used.
By processing these vectors, the learning algorithm trains a classifier.
These claims about the data learners would need in order to learn grammar are underpinned by certain assumptions about the learning algorithm they employ.
The end user can improve the learning algorithm by tediously labeling a substantial amount of additional training data, but this takes time and is too ad hoc to target a particular area of inaccuracy.
More suggestions(15)
by the learning procedure
by the clustering algorithm
by the pharma algorithm
by the learning language
by the learning rate
by the learning rule
by the learning process
by the learning machine
by the optimization algorithm
by the learning design
by the learning provider
by the network algorithm
by the RepeatMasker algorithm
by the learning automaton
by the learning environment
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