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In the retrieving phase, the MFNN iterates through all the layers to produce the retrieval response { a i(L), i = 1, …, NL} at the output layer based on the inputs of test patterns { a i(0), i = 1, …, N0}, the known weights w ij of the network, and the nonlinear activation function f i (for example, sigmoid function).

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4, 5 After this training process, the MFNN is tested by giving the inputs of testing data (that is, clinical factors) to the network.

Thus, by quantifying the number of RBAC constraints reacting to the inputs of a test case, the dynamic coverage of a policy P can be measured and support test prioritization.

We observed five different disturbance productivity relationships from the microcosm tests and these variable relationships were attributed to the different initial states of the microcosms under the same input sequence of test plans and disturbance regimes.

We manipulated the amount (set size of 1, 3, and 5) and content (ratio of left and right pointing arrows within a set) of the inputs to test competing hypotheses regarding mental operations for information processing.

These techniques cannot guarantee about the correctness of the systems because to gain a required level of confidence number of inputs for testing and simulations increases exponentially.

An RBAC constraint is applicable to a test case if there is a match between the users, roles, or permissions of any input of this test case and the attributes of the constraint.

Team 238 is also the only team that submitted results for all 194 genes from the input of the test set.

This step takes as input two sets of test cases (X_{text {old}}, X_{text {gen}} subset mathcal {I}) and outputs an updated set of test cases X new.

The quality evaluation step takes as input two sets of test cases (X_{text {gen}}, mathcal {I}' subset mathcal {I}) and outputs a quality rating (tilde {E}(X_{text {gen}}, mathcal {I}')) of X gen with respect to (mathcal {I}').

The inverse variance in Mantel–Haenszel or DerSimonian Laird effects model was used according to the data input and heterogeneity of test results.

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