The phrase "a set of output" is correct and usable in written English.
It can be used when referring to multiple results or products generated from a process, such as in programming, data analysis, or manufacturing contexts.
Example: "The program generated a set of output that included various statistical analyses and visualizations."
Alternatives: "a collection of results" or "a group of outputs".
NMR, unlike X-ray crystallography, is capable of producing a set of output structures (an ensemble) giving insight into the dynamics of the protein25,26,27,28.
Multiple trigger and reconstruction algorithms can be combined and run on blocks of data in a parallel fashion, producing a set of output data streams which can be analyzed in real time with minimal latency (<5 s).
(mathcal {O}={t^o_1, t^o_2, ldots, t^o_m}) is a set of output functional properties.
Services have a set of input ports, from which they read data, process it, and deliver it to a set of output ports.
This model has the ability to learn from existing data and adopt to map a set of input parameters into a set of output parameters, without knowing the intricate relationship among them.
In general, the scope of the artificial neural network approach is to establish relationships, or classifications, between a set of output parameters and set of input parameters, which are too complex to be "guessed" using simple functional forms.
And somehow these inputs through the influence of the weights of the thresholds come out as a set of outputs.
I think a lot of people focus too much on a set of outputs and not the inputs that help them get there.
A Co-design Finite State Machine (CFSM), like a classical Finite State Machine, transforms a set of inputs into a set of outputs with only a finite amount of internal state.
A set of outputs for the given wavelet scale is generated: a table of candidate sources (identified by correlation maxima), an image of the correlation of the data with the wavelet function, an image of the normalized (or flat-field) background (the image minus the "source" pixels), and the normalized background error image.
Linearity was a property related to the fact that if we have a set of outputs associated with a given set of inputs as I've indicated here with the inputs as phi_k and the outputs psi_k, then the property of linearity states that if we have an input which is a linear combination of those inputs, then the output is a linear combination of the associated outputs.
