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||.|| represents the norm operator.
The norm operator is ∥∙∥.
where is the norm operator.
where ‖ ‖ denotes the l 2 norm operator.
||·||α denotes the α norm operator and ٭ stands for convolution.
The vector norm operator ||·||2 is the Euclidean distance.
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The reason why block norm operators have not been used in realistic applications before is related to the well-known stability issues on curvilinear grids.
In layer 2, a Suitable T-norm operator (most commonly multiplication) is used to perform fuzzy AND operation of the input signals to get the output: O i 2 = w i = μ P i x μ Q i x ; i = 1, 2. (4).
Greatly improved accuracy is achieved near the boundaries, as compared with traditional diagonal-norm operators of the same order.
However, diagonal-norm operators with a repeating interior-point operator that have thus far been constructed suffer from a loss of accuracy.
We claim that the key components of the fuzzy Markov chain-based, multitemporal classification model with respect to its alternative designs are the t-norm and s-norm operators, and the fuzzy aggregation function.
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CEO of Professional Science Editing for Scientists @ prosciediting.com