The phrase "a set of outputs" is correct and usable in written English.
It can be used when referring to multiple results or products generated from a process or system.
Example: "The experiment produced a set of outputs that were analyzed for accuracy and reliability."
Alternatives: "a collection of results" or "a group of outcomes."
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.
Supervised learning will allow lawyers to train algorithms with labeled data and map historical inputs to a set 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.
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.
