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A generalized radial basis function (GRBF) neural network architecture that generates a set of fuzzy classification rules was developed for protein sequences classification by Wang et al. [ 11].
We design an exact simultaneous column-and-row generation algorithm whose novel element is a row-generating subproblem that generates a set of columns and rows.
Each stage generates a set of groups.
A bank of observers generates a set of residuals.
This generates a set of contact waves moving along the reactor height in opposite directions.
Given an object name, Ftree generates a set of keys using multiple hash functions.
The proposed approach generates a set of suffixes as an intermediate result.
From these comparisons, each sensor generates a set of possible faulty neighbor sensors.
With these inputs, the algorithm generates a set of all possible transmission modes.
The mining algorithm generates a set of path patterns for each of these databases.
Moreover, the analysis of composition results proves that the proposed approach generates a set of pleasant and diverse melodies.
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