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).
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.
We include here only the models that were the most reliable for the targeted soil hydraulic property, as determined by the series of tested input parameters in a hierarchical order of input requirements.
Next, we carried out a second run with ADMIRE using 10-kB tiling regions as input to test for reproducibility of statistically significantly changed regions.
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.
A linear relationship was established between TDIN uptake and loading over the range of inputs tested.
Small sample input requirement facilitates testing of specimens with limited collection volume.
The accuracy in the prediction will depend upon reliability of the model, input parameters, testing methods used to characterize the input parameters, etc.
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.
