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Discover LudwigThe phrase 'generate outputs' is correct and usable in written English.
You can use it when discussing the results or outcomes of a process. For example, "The machine was programmed to generate outputs based on the input data."
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A neural network is a computer system that can "learn" to recognise inputs and generate outputs rather like a group of nerves in the brain.
About transcription errors, the tools analyzed generate outputs in different formats.
Agent-based models simulating social reality generate outputs which result from a complex interplay of processes related to agents' rules of interaction and model's parameters.
For example, goats, a natural capital, can be used to generate outputs like meat, milk and manure, which are often a source of income (Ellis [2000]).
What matters are the causal relationships it's prone to enter with a computer: Under certain promptings, it enters states such that, under certain further promptings, it will generate outputs of a certain sort.
The relative efficiency in using inputs to generate outputs is then a measure of the economic success of a DMU, where the relative success performance ranges from 0 (i.e., totally inferior efficiency) to 1 (maximum efficiency).
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Adam Smith included it alongside labour and capital as one of the three factors of production that combined to generate output.
The experiments generate output responses such as tool wear rate (TWR).
Indeed, using our computer with Matlab Software, we need milliseconds to generate output observations.
Processors elaborate input (from sensors) and generate output (communications for shoppers and for neighbor cells).
The model was proven to be time-efficient and to generate output of high accuracy.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com