Terms related to neural networks · 3.4.8
neural network
a network built from layers of neurons, one or more, joined by weighted links that can be adjusted, taking input data and producing an output
What this term settles
The definition fixes what neural network means inside this vocabulary and, just as usefully, where the boundary sits. A reader who means something wider or narrower is using a different term and should say so.
Who it binds
The entry has no shall in it, and the force of neural network comes from use: once it appears in a procedure or a supplier term, this is the meaning the reader may rely on.
What to do in your practice
Put neural network in the controlled vocabulary with its citation, an owner and a review date. Then test the inventory and the policy against the entry and record every place the firm uses a different word for the same thing.
Evidence an auditor or regulator asks for
- A controlled vocabulary entry for neural network with the citation 3.4.8, an owner and a review date.An auditor can check that neural network is controlled rather than assumed.
- A model architecture note that names the network form and the layers used. The row names neural network.Shows neural network in use in the artefact the firm relies on, not only in a glossary.
- A test record that shows the behaviour the architecture was chosen for. The record carries the neural network entry and its date.The architecture note uses the network name as a marketing label with no layer or training detail behind it. The gap is tested against neural network.
Common gaps this page catches
- neural network is used in the network architecture note without a written definition, so two teams can mean different things.
- A supplier uses neural network with a different boundary and nobody has recorded the difference.
What to prepare before the amendment lands
Put neural network on the agenda of the next AI governance meeting with two questions: where is it used, and what would show it is used correctly? Record the answers as actions.
How to test it here
Take one live artefact rather than a template, find the sentence or field where neural network is used, and put this page beside it. Record the answer, the artefact and the date, because that record is the evidence and a glossary entry on its own is only an intention.
What this page does not claim
The page does not reproduce the standard, certify the firm or predict the wording the amendment will use; it states neural network at the claim level "definition" and stops where the public record stops.
Common questions
- What does neural network mean in ISO 22989?
- a network built from layers of neurons, one or more, joined by weighted links that can be adjusted, taking input data and producing an output
- What evidence should we keep for 3.4.8?
- A controlled vocabulary entry for neural network with the citation 3.4.8, an owner and a review date. A model architecture note that names the network form and the layers used. The row names neural network.
- Is neural network a requirement?
- No: neural network is a definition or clause of a terminology standard, and it becomes binding only when a firm writes it into a policy, a contract or a procedure, or when another standard incorporates it.
Related units
Source. ISO/IEC 22989:2022, Clause 3.4.8, Terms and definitions. Open the ISO public entry. Retrieved 21 October 2026.
https://www.iso.org/obp/ui/en/#iso:std:iso-iec:22989:ed-1:v1:en
ISO catalogue record 88145, the amendment status, stage and dates. Catalogue record 74296, the base standard.
Claim level: definition. The definition is in the public preview. This page states it in our own words and does not reproduce the text.
Last updated: 2026-10-21 · Markdown version · Check your vocabulary