Sentence examples for for each rule of from inspiring English sources

The proposed method uses linear matrix inequality technique to find the common positive definite covariance matrix and feedback gains for each rule of the T S fuzzy models.

For each rule of the discrete Takagi Sugeno fuzzy model, the present approach will show a way to parametrize the static linear output feedback control gains for achieving a certain common observability Gramian for all subsystems.

Accordingly, two real values called transition and emission probabilities are specified for each rule of the grammar.

We then construct a selected mRNA data set for each rule consisting of all the samples but only those predicted target mRNAs presented in the original mRNA data set.

In the proposed approach, the SRWNN is employed to construct a full-adaptive self-recurrent consequent part for each fuzzy rule of a TSK fuzzy model.

In the proposed approach, a self-recurrent Wavelet Neural Network (SRWNN) is applied with the aim of constructing a self-recurrent consequent part for each fuzzy rule of a Takagi-Sugeno-Kang (TSK) fuzzy model.

Hence, for each rule we obtained the average number of contacts between pairs of substructures in matching proteins and the standard deviation indicating the stability of these contact surfaces over different proteins.

For each rule R, a probability p of interpreting a call as an anomaly is defined according to n, the number of identical antecedent tuples (on the left term of the rule) that satisfy the rule during training, and r, the cardinality of the set of observed values for the consequent (right term of the rule).

We first determined for each rule the most probable period of time during which the rule functions, and plotted the rule in the corresponding phase of the cell cycle.

The lower and upper normalized grades of membership for each rule must satisfy Eq. (21).

The membership functions defined on the input variables are applied to their actual values to determine the degree of truth for each rule premise.