The phrase "a set of prototype" is not correct in English.
Did you mean "a set of prototypes"? You can use the corrected phrase when referring to multiple prototype models or examples in a specific context, such as design or product development.
Example: "The team presented a set of prototypes for the new smartphone design at the conference."
Alternatives: "a collection of prototypes" or "a group of prototypes".
A set of prototype modules have been constructed and tested for structural, electrical, data transfer, and general performance measurements.
A set of prototype and parametric walls is designed to represent building structures from the 1960s and early 1970s in regions of the US with high seismicity.
To focus discussion and debate at the workshop, a set of prototype problems, generally referred to as challenge problems, was constructed.
Jacob also developed a blog and social media model for sharing current and archived material, experimented with video collection, and developed a set of prototype podcasts featuring contemporary and archival audio.
Given a set of prototype cases representing a set of categories, a similarity function, and a new case classified in some category, we find the cost-minimizing changes to the attribute values such that the case is reclassified as a member of a (different) preferred category.
Our designer put together a set of prototype options, and I developed several research scenarios that linked the prototypes with live data so that I could watch testers try to accomplish some common tasks and see where they ran into problems, took circuitous routes, or performed actions that we weren't expecting.
Based on a comparison of input data with a set of prototypes, classifier systems identify the most appropriate representative for a given sample pattern.
This paper shows a complete study and thermal testing validation on a set of prototypes (plates and beam) based on sandwiches with core made of metal foam (open cells) material impregnated by phase change materials.
Unsupervised fuzzy clustering (UFC) analysis is a mathematical technique that groups together objects in the multidimensional feature space according to a specified similarity measurement, thereby yielding clusters of similar data points that can be represented by a set of prototypes or centroids.
