Sentence examples for for a particular output from inspiring English sources

The rationale behind calculating the PRCC is that for a particular output, not all input parameters may contribute equally.

One major advantage of identifying the top most relevant parameters based on the PRCC is that given a large parameter space, if only few input parameters have a significant contribution for a particular output, it reduces the dimensionality of parameter space significantly.

As an example, we can think of the useof the notion of n-norm for a process where for a particular output we needn-inputs but with one main input and other (n-1 -inputs n-1 -inputsuts to complete the process.

The sum of total effects over all parameters for a particular output is 1; therefore, the closer to 1 a particular parameter's total effect is, the larger the contribution.

The output created by ChemChains is a text file containing a table of activity for each output node in terms of the OFF/ON states, where '*' star) represents the ON state, whereas '.'(dot) represents the OFF state of a particular output node.

Deep-learning networks can be taught how to process inputs to achieve a particular output — for instance, learning to pick out a particular face in many photos of different people.

The conditional probability distributions provide for every input signal (x ∈ A X ) the probability that a particular output signal (y ∈ A Y ) is produced.

People are not biochemical versions of computer programs, where a particular input will give a particular output.

Transitioning from a highly labour-intensive mobile, multiple-value production system toward a sedentary, capital intensive single-output development model may appear to achieve resource efficiencies for that particular output (usually meat), but this narrows the range of products delivered by the system at the expense of overall social and environmental health" (McGahey et al. 2014, 20).

Reported values are normalized to the maximal activation level for that particular output (e.g. concentration of phosphorylated PLB subunits over total PLB).

For a particular function, the output is predicted from the following equation: y_{k} = mathop smallint nolimits (w_{i} + b_{j} ),where w i is the sum weight of each neuron and b j is the bias, i.e., constant weight of a neuron representing the relative error (Çelekli and Geyik 2011).