In order to circumvent numerical difficulties in solving the nested double-loop optimization problem, a performance measure-based approach is employed to transform the constraint on the reliability index into one on the concerned performance.
All the substructures are then condensed into super-elements except the concerned part.
But for mathematics, the language must be separated into the part concerned with rational numbers, which can be interpreted so that measurements give rational numbers as values, and the part concerned with real or complex numbers, which correspond to no empirical measurement.
This is because entrepreneurs invariably take their production decisions by taking into consideration the demand for the concerned product.
Since MeDor generates no automated consensus on disorder, the assignment of order and disorder was done taking into account the length of the concerned region and the accuracy of the various predictors in identifying regions of short (<30 residues) or long (>70 residues) disorder (for reviews on the identification of disorder see [41], [127], [128], [129].
MeDor generates no automated consensus on (dis)order; thus, the assignment of order and disorder was done on a case-by-case basis, taking into account the length of the concerned region and the accuracy of the various predictors in identifying regions of short (<30 residues) or long (>70 residues) disorder (for reviews on the identification of disorder see [45], [46].
Therefore, the concerned problem is transformed into fault diagnosis problem of the weighting system presented by an uncertain nonlinear system with multiple disturbances and time-varying fault.
First, based on the novel approach in Lemma 1, the concerned MNNs are converted into traditional neural networks with uncertain parameters.
In first stage, by applying empirical mode decomposition (EMD), the concerned signal is decomposed into intrinsic mode functions (IMFs) to obtain meaningful instantaneous amplitudes and frequencies [82].
